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@EricLBuehler EricLBuehler commented May 13, 2025

Summary by CodeRabbit

  • New Features

    • Vision model initialization now automatically selects the appropriate loader type based on the model configuration, removing the need to specify the loader type manually.
    • Added support for optionally specifying the architecture when building vision models.
  • Refactor

    • Simplified vision model builder APIs, making the loader type parameter optional and introducing a method to set it if needed.
    • Updated trait and method signatures to accept configuration parameters, enabling more flexible model handling.
    • Renamed and reorganized loader types for clarity and improved modularity.
  • Style

    • Example usages and documentation updated to remove explicit architecture or loader type specifications, reflecting the streamlined initialization process.

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coderabbitai bot commented May 13, 2025

Walkthrough

This update refactors the handling of vision model loader types throughout the codebase. The vision loader type is now optional in model selection and builder patterns, enabling automatic detection from model configuration when not explicitly provided. Public API signatures, trait implementations, and builder methods have been adjusted to support this flexibility, and example usages have been simplified accordingly.

Changes

File(s) Change Summary
mistralrs-core/src/model_selected.rs
mistralrs-core/src/toml_selector.rs
Changed the arch field in VisionPlain variant from required to optional (Option<VisionLoaderType>) in both runtime and TOML model selection enums.
mistralrs-core/src/pipeline/loaders/normal_loaders.rs
mistralrs-core/src/pipeline/loaders/mod.rs
mistralrs-core/src/pipeline/mod.rs
mistralrs-core/src/pipeline/normal.rs
Renamed AutoLoader to AutoNormalLoader and updated all references and exports. Adjusted imports and usage in the normal pipeline module.
mistralrs-core/src/pipeline/loaders/vision_loaders.rs
mistralrs-core/src/pipeline/vision.rs
Introduced AutoVisionLoader for automatic loader selection based on config. Updated VisionModelLoader trait signatures to accept config parameters. Added loader selection logic and delegation. Adjusted builder to take Option<VisionLoaderType>.
mistralrs-pyo3/src/which.rs Made the arch parameter in Plain and VisionPlain variants of the Which enum optional (Option<...>) with default None.
mistralrs-pyo3/src/lib.rs Updated parse_which to conditionally convert arch using .map(Into::into) for VisionPlain.
mistralrs/src/vision_model.rs Made loader_type in VisionModelBuilder optional. Changed constructor to omit loader type and added with_loader_type method. Updated UqffVisionModelBuilder accordingly.
mistralrs-core/src/pipeline/vision.rs Updated loader builder to accept Option<VisionLoaderType>. Adjusted method calls to pass config parameter.
mistralrs/examples/gemma3/main.rs
mistralrs/examples/idefics2/main.rs
mistralrs/examples/idefics3/main.rs
mistralrs/examples/llama4/main.rs
mistralrs/examples/llama_vision/main.rs
mistralrs/examples/llama_vision_multiturn/main.rs
mistralrs/examples/llava/main.rs
mistralrs/examples/llava_next/main.rs
mistralrs/examples/minicpmo_2_6/main.rs
mistralrs/examples/mistral3/main.rs
mistralrs/examples/phi3v/main.rs
mistralrs/examples/phi4mm/main.rs
mistralrs/examples/qwen2_5vl/main.rs
mistralrs/examples/qwen2vl/main.rs
mistralrs/examples/smolvlm/main.rs
mistralrs/examples/uqff_vision/main.rs
mistralrs/examples/vision_auto_device_map/main.rs
Removed explicit VisionLoaderType arguments from VisionModelBuilder and similar builders in all vision model examples, simplifying initialization.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant VisionModelBuilder
    participant AutoVisionLoader
    participant ConcreteLoader

    User->>VisionModelBuilder: new(model_id)
    User->>VisionModelBuilder: with_loader_type(loader_type)? (optional)
    User->>VisionModelBuilder: build()
    VisionModelBuilder->>AutoVisionLoader: build (if loader_type is None)
    AutoVisionLoader->>AutoVisionLoader: parse config for architecture
    AutoVisionLoader->>ConcreteLoader: instantiate loader based on config
    AutoVisionLoader->>ConcreteLoader: delegate load/configure methods
    ConcreteLoader-->>AutoVisionLoader: result
    AutoVisionLoader-->>VisionModelBuilder: loader instance
    VisionModelBuilder-->>User: ready-to-use model
Loading

Poem

In the warren of code where the vision bunnies dwell,
Loaders now choose themselves—oh, isn’t that swell!
No more must you fuss, or specify each kind,
The right loader hops out, with config in mind.
With options and traits all neatly aligned,
This patch brings new freedom—of the automatic kind!
🐇✨

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Code Metrics Report
  ===============================================================================
 Language            Files        Lines         Code     Comments       Blanks
===============================================================================
 C Header                3           62           53            0            9
 Dockerfile              1           41           22           10            9
 JSON                   12          107          106            0            1
 Makefile                1            6            5            0            1
 Python                 82         3665         3128          137          400
 Shell                   1           63           26           18           19
 Plain Text              3         3723            0         2413         1310
 TOML                   19          557          512            6           39
 YAML                    2           21           19            2            0
-------------------------------------------------------------------------------
 Jupyter Notebooks       3            0            0            0            0
 |- Markdown             2           77           32           31           14
 |- Python               2          205          178            1           26
 (Total)                            282          210           32           40
-------------------------------------------------------------------------------
 Markdown               54         4898            0         3733         1165
 |- BASH                 8          105          102            0            3
 |- JSON                 1           12           12            0            0
 |- Python               7          121          109            0           12
 |- Rust                21          729          616            0          113
 |- TOML                 2           75           63            0           12
 (Total)                           5940          902         3733         1305
-------------------------------------------------------------------------------
 Rust                  365       122573       109641         2418        10514
 |- Markdown           165         1843           25         1669          149
 (Total)                         124416       109666         4087        10663
===============================================================================
 Total                 546       135716       113512         8737        13467
===============================================================================
  

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Actionable comments posted: 1

🔭 Outside diff range comments (1)
mistralrs-core/src/pipeline/loaders/vision_loaders.rs (1)

83-106: 🛠️ Refactor suggestion

Trait signature now forces JSON string to be passed around – consider accepting parsed config instead

Adding config: &str to every VisionModelLoader helper ( is_gptx, supports_paged_attention, supports_prefix_cacher, prefixer ) keeps the public API uniform, but it also means:

  1. Every implementation ends up calling serde_json::from_str(config)? each time the helper is invoked.
  2. Call-sites that already have a parsed config are forced to re-serialise or keep the raw bytes around.

For frequently-called helpers (e.g. inside an inner decoding loop) this will allocate and parse JSON many times and can become a non-trivial hot-spot.

-pub trait VisionModelLoader { 
-    fn is_gptx(&self, config: &str) -> bool;
-
-}
+pub trait VisionModelLoader<Cfg: DeserializeOwned> {
+    fn is_gptx(&self, cfg: &Cfg) -> bool;
+
+}

The generic parameter keeps the public shape but lets each caller re-use an already-parsed config, saving allocations and CPU cycles.
If changing the trait is out of scope, at minimum document the performance cost and ensure the helpers are never called from tight loops.

🧹 Nitpick comments (7)
mistralrs-core/src/pipeline/loaders/normal_loaders.rs (4)

255-257: Scope and Derive Config Struct
AutoNormalLoaderConfig is correctly private. For improved debugging when deserializing, consider deriving Debug (and possibly Clone) on this struct.


259-288: Improve Error Context in get_loader
The length check is correct, but the error message could include the unexpected payload for easier troubleshooting.

Example diff:

-        if auto_cfg.architectures.len() != 1 {
-            anyhow::bail!("Expected to have one name for `architectures` config field.")
-        }
+        match auto_cfg.architectures.as_slice() {
+            [name] => { /* proceed */ }
+            other => anyhow::bail!(
+                "Expected exactly one architecture, found {}: {:?}", other.len(), other
+            ),
+        }

332-345: Delegate IsqModelLoader Implementation
Delegation through Self::get_loader(config)?… is accurate. This pattern is repeated below; consider extracting a small helper or macro to reduce boilerplate.


347-385: Delegate DeviceMappedModelLoader Implementation
Forwarding all trait methods to the selected loader is correct. For maintainability, you might factor out the repeated Self::get_loader(config)?… blocks into a private method or macro.

mistralrs-core/src/pipeline/loaders/vision_loaders.rs (3)

167-189: from_causal_lm_name mapping brittle & missing several real-world names

  1. Many HF classes use the pattern *ForCausalLM and *ForConditionalGeneration.
    Some here end with neither ("MiniCPMO").
  2. Matching the full string means every new upstream class name requires a code change.

Consider normalising the incoming string and matching by suffix:

match name.trim_end_matches("ForCausalLM")
          .trim_end_matches("ForConditionalGeneration") {
    "Phi3V"   => Ok(Self::Phi3V),
    "MiniCPMO" => Ok(Self::MiniCpmO),
    …
    _ => bail!(…),
}

That reduces maintenance friction and avoids user-visible “unsupported model class” errors for trivially renamed upstream classes.


242-253: Log message allocation

once_log_info(format!(…)) allocates a String every time. If the macro accepts &'static str + args, prefer once_log_info!("Automatic loader type determined to be {}", tp); to avoid an extra heap allocation.


273-332: Delegation boilerplate – consider a macro

The impl VisionModelLoader for AutoVisionLoader repeats the same pattern for every method: Self::get_loader(config)?.....
A small macro or a helper with_loader!(config, |ldr| ldr.method(...)) would cut ~70 lines and remove the risk of forgetting to forward a new method in the future.

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 9a228b8 and 18731f8.

📒 Files selected for processing (28)
  • mistralrs-core/src/model_selected.rs (1 hunks)
  • mistralrs-core/src/pipeline/loaders/mod.rs (1 hunks)
  • mistralrs-core/src/pipeline/loaders/normal_loaders.rs (4 hunks)
  • mistralrs-core/src/pipeline/loaders/vision_loaders.rs (31 hunks)
  • mistralrs-core/src/pipeline/mod.rs (1 hunks)
  • mistralrs-core/src/pipeline/normal.rs (2 hunks)
  • mistralrs-core/src/pipeline/vision.rs (5 hunks)
  • mistralrs-core/src/toml_selector.rs (1 hunks)
  • mistralrs-pyo3/src/lib.rs (1 hunks)
  • mistralrs-pyo3/src/which.rs (2 hunks)
  • mistralrs/examples/gemma3/main.rs (1 hunks)
  • mistralrs/examples/idefics2/main.rs (1 hunks)
  • mistralrs/examples/idefics3/main.rs (1 hunks)
  • mistralrs/examples/llama4/main.rs (1 hunks)
  • mistralrs/examples/llama_vision/main.rs (1 hunks)
  • mistralrs/examples/llama_vision_multiturn/main.rs (1 hunks)
  • mistralrs/examples/llava/main.rs (1 hunks)
  • mistralrs/examples/llava_next/main.rs (1 hunks)
  • mistralrs/examples/minicpmo_2_6/main.rs (1 hunks)
  • mistralrs/examples/mistral3/main.rs (1 hunks)
  • mistralrs/examples/phi3v/main.rs (1 hunks)
  • mistralrs/examples/phi4mm/main.rs (1 hunks)
  • mistralrs/examples/qwen2_5vl/main.rs (2 hunks)
  • mistralrs/examples/qwen2vl/main.rs (1 hunks)
  • mistralrs/examples/smolvlm/main.rs (1 hunks)
  • mistralrs/examples/uqff_vision/main.rs (1 hunks)
  • mistralrs/examples/vision_auto_device_map/main.rs (2 hunks)
  • mistralrs/src/vision_model.rs (5 hunks)
⏰ Context from checks skipped due to timeout of 90000ms (8)
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  • GitHub Check: Clippy
  • GitHub Check: Check (macOS-latest, stable)
  • GitHub Check: Test Suite (ubuntu-latest, stable)
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  • GitHub Check: Check (windows-latest, stable)
🔇 Additional comments (49)
mistralrs/examples/smolvlm/main.rs (2)

2-2: Clean import update

Removed the unnecessary VisionLoaderType import since it's no longer needed with the new automatic vision loader type detection.


8-8: API simplification looks good

The VisionModelBuilder::new() now only requires the model ID without explicitly specifying the loader type. This simplification aligns with the PR objective of adding automatic vision loader type detection.

mistralrs/examples/uqff_vision/main.rs (2)

2-2: Import cleanup

Removed the unused VisionLoaderType import, which is consistent with the API changes.


6-9: Builder API simplification

The UqffVisionModelBuilder::new() now just takes the model ID and files without requiring the explicit vision loader type. This is consistent with the PR objective of making loader types optional and automatically detected.

mistralrs/examples/minicpmo_2_6/main.rs (2)

2-2: Import simplification

Removed the now unused VisionLoaderType import, which is no longer needed with automatic loader type detection.


6-6: Simpler builder API

The VisionModelBuilder::new() call has been simplified to only require the model ID. This is consistent with the PR objective of automatic vision loader type detection.

mistralrs/examples/llava/main.rs (2)

2-2: Cleaned up imports

Removed the unnecessary VisionLoaderType import, aligning with the new automatic vision loader type functionality.


6-6: Simplified builder API

The VisionModelBuilder::new() now only requires the model ID parameter, eliminating the need for explicit vision loader type specification. This change is consistent with the PR objective of automatic loader type detection.

mistralrs/examples/gemma3/main.rs (1)

2-2: Great API simplification!

Removing the explicit VisionLoaderType import and parameter makes the API more user-friendly. The code is now cleaner and requires less domain knowledge to use, while maintaining the same functionality through automatic loader type detection.

Also applies to: 6-6

mistralrs/examples/vision_auto_device_map/main.rs (1)

3-4: Code simplification improves example clarity

Removing the explicit VisionLoaderType import and parameter from the builder pattern creates a more streamlined API. This change is particularly beneficial in this example focusing on auto device mapping, as it reduces cognitive load for users.

Also applies to: 16-16

mistralrs/examples/qwen2vl/main.rs (1)

2-2: Simplified model initialization

The removal of VisionLoaderType from imports and constructor arguments makes the example more concise and easier to understand. This change effectively demonstrates how the automatic loader type detection works with the Qwen2VL model.

Also applies to: 8-8

mistralrs/examples/llama_vision/main.rs (1)

2-2: Consistent API improvement

This change follows the same pattern as other examples, removing the need to explicitly specify the vision loader type. The consistency across all example files demonstrates a thorough approach to this API improvement. Now users can focus on their application logic rather than selecting the correct loader type.

Also applies to: 9-9

mistralrs/examples/llava_next/main.rs (1)

2-2: API simplification looks good

The removal of VisionLoaderType from imports and simplification of the VisionModelBuilder::new() call improves the API by reducing unnecessary parameters. The automatic vision loader type detection works correctly with the LLaVA model.

Also applies to: 6-6

mistralrs/examples/llama_vision_multiturn/main.rs (1)

2-2: Simplified API improves developer experience

The removal of VisionLoaderType from imports and simplification of the VisionModelBuilder::new() call makes the multi-turn vision example clearer and more concise. The automatic loader detection correctly works with the Llama 3.2 Vision model.

Also applies to: 8-8

mistralrs/examples/mistral3/main.rs (1)

2-2: API simplification consistent with Mistral3 model

The removal of explicit VisionLoaderType::Mistral3 argument and corresponding import simplifies the example while maintaining the same functionality. The automatic loader type detection works correctly with the Mistral model based on its identifier.

Also applies to: 6-6

mistralrs/examples/idefics3/main.rs (1)

2-2: Consistent API improvement for Idefics3 model

The removal of the explicit VisionLoaderType::Idefics3 parameter and its import simplifies the example while preserving functionality. The automatic loader type detection works correctly with the Idefics3 model based on its identifier.

Also applies to: 8-8

mistralrs/examples/llama4/main.rs (2)

2-2: Simplified import by removing unnecessary VisionLoaderType

The import statement has been streamlined by removing the VisionLoaderType import, which is no longer needed due to the automatic detection capability added in this PR.


6-10: API usage simplified with automatic vision loader detection

The model builder initialization has been simplified by removing the explicit VisionLoaderType::Llama4 parameter. The code now leverages the new automatic vision loader type detection feature, making it more concise while maintaining the same functionality.

mistralrs/examples/idefics2/main.rs (2)

2-2: Simplified import by removing unnecessary VisionLoaderType

The import statement has been cleaned up by removing the unused VisionLoaderType import, which is now handled automatically by the library.


6-10: API usage simplified with automatic vision loader detection

The model builder initialization has been simplified by removing the explicit VisionLoaderType::Idefics2 parameter. This change leverages the new automatic loader type detection feature, making the code more concise while maintaining the same functionality.

mistralrs/examples/phi3v/main.rs (2)

2-2: Simplified import by removing unnecessary VisionLoaderType

The import statement has been streamlined by removing the unused VisionLoaderType import, consistent with the changes in other example files.


6-10: API usage simplified with automatic vision loader detection

The model builder initialization no longer requires an explicit VisionLoaderType::Phi3V parameter, reducing boilerplate while maintaining functionality through automatic detection.

mistralrs/examples/phi4mm/main.rs (2)

2-2: Simplified import by removing unnecessary VisionLoaderType

The import statement has been cleaned up by removing the VisionLoaderType import, which is now handled automatically, maintaining consistency with the other example files.


6-10: API usage simplified with automatic vision loader detection

The model builder initialization has been simplified by removing the explicit VisionLoaderType::Phi4MM parameter. This change leverages the new automatic loader type detection capability, making the API more user-friendly while preserving functionality.

mistralrs-core/src/toml_selector.rs (1)

397-397: Appropriate change to make vision loader type optional

Changing the arch field in the VisionPlain variant to Option<VisionLoaderType> aligns with the pattern used in other model variants where architecture types are optional. This enables automatic detection of the vision loader type from model configuration.

mistralrs/examples/qwen2_5vl/main.rs (2)

3-3: Import cleaned up after vision loader type made optional

Removed the unnecessary VisionLoaderType import since it's no longer needed with the automatic loader type detection.


30-30: Simplified API usage with automatic loader detection

The model builder initialization is now more concise, requiring only the model ID and leveraging the automatic vision loader type detection capability. This simplification makes the API more user-friendly.

mistralrs-core/src/model_selected.rs (1)

475-475: Consistent change to make vision arch parameter optional

Making the arch field optional in ModelSelected::VisionPlain mirrors the change in TomlModelSelected::VisionPlain, ensuring consistency throughout the codebase for optional architecture specification. This change enables more flexible vision model initialization patterns.

mistralrs-core/src/pipeline/mod.rs (1)

35-35: Updated exports with specialized loader types

The public re-exports now include AutoNormalLoader and AutoVisionLoader instead of the previous generic AutoLoader. This change supports the new architecture where loader types are more specialized and vision loader types can be automatically detected.

mistralrs-pyo3/src/lib.rs (1)

411-411: Updated build parameter to handle optional architecture

The code now correctly uses .map(Into::into) instead of direct conversion, preserving the Option type. This matches the changes to make vision loader type optional, allowing automatic detection from model configuration.

mistralrs-core/src/pipeline/loaders/mod.rs (2)

20-20: Renamed AutoLoader to AutoNormalLoader

Good naming change that clearly distinguishes between normal and vision loaders, providing better API clarity.


28-30: Added AutoVisionLoader to re-exports

Properly adds the new AutoVisionLoader to the exports, enabling the automatic vision loader selection functionality. This is consistent with the architecture changes in the rest of the PR.

mistralrs-pyo3/src/which.rs (2)

400-401: Made arch parameter optional for Plain variant

Constructor now takes an optional architecture parameter with a default of None, enabling automatic architecture selection.


414-415: Made arch parameter optional for VisionPlain variant

The VisionPlain variant now accepts an optional VisionArchitecture, allowing the code to automatically select the appropriate loader based on model configuration when not specified.

mistralrs-core/src/pipeline/normal.rs (1)

224-224: Updated to use AutoNormalLoader

Consistent rename from AutoLoader to AutoNormalLoader, maintaining compatibility with the changes in the loaders module.

mistralrs-core/src/pipeline/vision.rs (5)

4-8: Good addition of AutoVisionLoader in imports

The addition of AutoVisionLoader to the imports aligns with the new automatic vision loader type detection feature.


156-172: Well-implemented optional loader type support

The build method now accepts an Option<VisionLoaderType> instead of requiring an explicit type, with a proper fallback to AutoVisionLoader when None is provided. This enables automatic loader selection based on model configuration.

This change improves the API by making the loader type specification optional, which simplifies client code when the specific loader type doesn't need to be explicitly specified.


254-256: Good adaptation of supports_paged_attention method call

The method call now correctly passes the configuration string to supports_paged_attention, allowing for configuration-dependent behavior.


693-694: Correctly updated supports_prefix_cacher method call

The no_prefix_cache field is now correctly determined by passing the configuration to the supports_prefix_cacher method.


702-703: Updated prefixer method call with config parameter

The prefixer method now correctly receives the configuration string, ensuring the proper vision prompt prefixer is selected based on the model configuration.

mistralrs/src/vision_model.rs (4)

32-32: Good change to make loader_type optional

The loader_type field is now correctly defined as Option<VisionLoaderType>, enabling support for automatic vision loader selection.


50-77: Well-implemented constructor simplification

The new method has been updated to remove the now-optional loader_type parameter, initializing it to None by default to leverage automatic loader detection.

This change simplifies the API and makes it more user-friendly, as users don't need to specify a loader type when creating a new vision model.


121-126: Great addition of with_loader_type builder method

The new builder method provides a clean way to explicitly set the loader type when needed, while keeping it optional by default. The method is well-documented with clear comments explaining its purpose.


312-316: Correctly updated UqffVisionModelBuilder constructor

The UqffVisionModelBuilder::new method has been updated to remove the loader_type parameter, aligning with the changes in VisionModelBuilder::new.

mistralrs-core/src/pipeline/loaders/normal_loaders.rs (2)

252-253: Rename Clear and Aligned with Vision Loader
The new AutoNormalLoader struct name clearly distinguishes normal model loading logic and aligns with the introduced AutoVisionLoader, improving API consistency.


291-330:

✅ Verification successful

Delegate NormalModelLoader to Concrete Loaders
The impl NormalModelLoader for AutoNormalLoader correctly forwards calls to the dynamically chosen loader. Please verify that any future loader signature changes propagate here.

You can run this to confirm consistency:


🏁 Script executed:

rg "get_loader" -A2 src/pipeline/loaders/normal_loaders.rs

Length of output: 137


I wasn’t able to locate the file at the given path. Let’s find where normal_loaders.rs actually lives and confirm the get_loader calls:


🏁 Script executed:

#!/bin/bash
# Locate the file
file=$(fd normal_loaders.rs)
echo "File found at: $file"

# Show lines around get_loader usage
rg "get_loader" -A2 "$file"

Length of output: 2144


Confirm Delegation of All NormalModelLoader Methods
I’ve verified that AutoNormalLoader forwards every current NormalModelLoader method to the underlying loader via Self::get_loader(config)?. When adding new methods to the trait, be sure to propagate them here as well.

• File: mistralrs-core/src/pipeline/loaders/normal_loaders.rs
• Delegated methods include:

  • load, load_xlora
  • get_config_repr
  • supports_paged_attention, is_gptx
  • immediate_isq_predicates(_moqe)
  • isq_layer_regexes(_moqe)
  • non_mapped_size_in_bytes
  • num_layers, layer_sizes_in_bytes
  • mapped_max_act_size_elems, non_mapped_max_act_size_elems
  • model_config

Re-run this to confirm coverage remains in sync:

rg "get_loader" -A2 mistralrs-core/src/pipeline/loaders/normal_loaders.rs
mistralrs-core/src/pipeline/loaders/vision_loaders.rs (3)

213-231: Nice Display implementation

Straight-forward and exhaustive – thanks for adding it; it will make logs and error messages much clearer.


245-247: Hard-error on multi-architecture configs may reject valid HF checkpoints

HF occasionally ships configs with multiple entries in architectures. Silently selecting the first entry is usually what users expect.

-if auto_cfg.architectures.len() != 1 {
-    anyhow::bail!("Expected exactly one architecture in config");
-}
+if auto_cfg.architectures.is_empty() {
+    anyhow::bail!("`architectures` field empty in config");
+}
+let name = &auto_cfg.architectures[0];

This keeps the strictness for empty configs while being forgiving for multi-arch cases.


255-269: Possible typo: VLlama4Loader vs Llama4 variant

VisionLoaderType::Llama4 => Box::new(VLlama4Loader) builds the VLlama4Loader (note the extra V).
If this was meant to be consistent with the other loaders (VLlamaLoader, VLlama4Loader), fine; otherwise confirm the struct name is correct – a misspelling will cause a compile error only if both variants exist.

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Actionable comments posted: 2

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  • README.md (7 hunks)
  • docs/CHAT_TOK.md (2 hunks)
  • docs/DEVICE_MAPPING.md (1 hunks)
  • docs/GEMMA3.md (2 hunks)
  • docs/IDEFICS2.md (2 hunks)
  • docs/IDEFICS3.md (4 hunks)
  • docs/ISQ.md (1 hunks)
  • docs/LLAMA4.md (2 hunks)
  • docs/LLaVA.md (2 hunks)
  • docs/MINICPMO_2_6.md (4 hunks)
  • docs/MISTRAL3.md (3 hunks)
  • docs/PAGED_ATTENTION.md (1 hunks)
  • docs/PHI3V.md (2 hunks)
  • docs/PHI4MM.md (2 hunks)
  • docs/QUANTS.md (1 hunks)
  • docs/QWEN2VL.md (4 hunks)
  • docs/TOOL_CALLING.md (1 hunks)
  • docs/TOPOLOGY.md (2 hunks)
  • docs/VLLAMA.md (4 hunks)
  • docs/WEB_SEARCH.md (1 hunks)
✅ Files skipped from review due to trivial changes (12)
  • docs/DEVICE_MAPPING.md
  • docs/WEB_SEARCH.md
  • docs/PAGED_ATTENTION.md
  • docs/TOOL_CALLING.md
  • docs/LLAMA4.md
  • docs/QUANTS.md
  • docs/TOPOLOGY.md
  • docs/IDEFICS2.md
  • docs/CHAT_TOK.md
  • docs/MISTRAL3.md
  • docs/VLLAMA.md
  • docs/ISQ.md
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README.md

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🔇 Additional comments (32)
docs/PHI3V.md (2)

54-54: CLI Simplification Approved
The example correctly omits the explicit -a phi3v flag and relies on the new automatic loader detection via the vision-plain subcommand.


105-111: Rust Example Updated Correctly
Removing the VisionLoaderType import and calling VisionModelBuilder::new with only the model identifier aligns with the updated API.

docs/PHI4MM.md (2)

52-52: CLI Example Simplified
The cargo run command no longer requires the -a phi4mm flag and correctly uses auto-detection.


102-109: Rust Example Streamlined
The import removal of VisionLoaderType and the simplified VisionModelBuilder::new("microsoft/Phi-4-multimodal-instruct") usage reflect the optional loader type refactor.

docs/GEMMA3.md (2)

50-50: CLI Invocation Updated
Removing the -a gemma3 argument from the cargo run example makes the usage consistent with automatic loader selection.


106-112: Rust Builder Call Simplification
Dropping the explicit VisionLoaderType::Gemma3 import and passing only the model ID simplifies the builder API as intended.

docs/LLaVA.md (3)

58-58: First CLI Example Simplified
The removal of the explicit loader flag from the first cargo run line cleanly demonstrates the auto-detection behavior.


60-60: Alternate CLI Example Simplified
The second example correctly omits the explicit loader type, relying on the vision-plain subcommand.


110-110: Rust Import Cleaned Up
Removing the VisionLoaderType import matches the new builder signature without altering functionality.

README.md (10)

49-49: Example CLI for Llama 4 Updated
The -a flag has been removed in favor of the new auto-loader mechanism.


62-62: Gemma 3 Quick Run Simplified
Dropping the -a gemma flag is consistent with the automatic detection update.


68-68: Mistral 3 Example CLI Streamlined
The example correctly uses vision-plain without an explicit loader argument.


91-91: Llama 3.2 Vision Command Simplified
The removal of the -a flag aligns with the refactored API.


97-97: Phi 4 Multimodal Quick Run
Omitting the -a phi4mm flag is intentional and correct under the new design.


103-103: Phi 4 Mini Example Updated
No longer specifying the loader accelerates setup and leverages the default.


360-360: Token Source CLI Example
The order of flags is clear and the -a flag omission is expected here as well.


372-372: Local Model Path Example
Using plain without -a properly relies on the auto-selected loader for local models.


510-510: Interactive Plain Model Run
The simplified -i plain -m invocation matches the updated subcommand behavior.


516-516: Interactive Vision Model Run
This example cleanly demonstrates vision-plain without an explicit loader type.

docs/MINICPMO_2_6.md (5)

18-23: Approve ToC enhancements
The newly nested Table of Contents is well-structured and aligns with the layout used in other model docs, improving discoverability of each section.


35-35: Removed explicit loader flag in interactive CLI
Dropping the -a minicpmo argument correctly defers to auto-detection, while retaining the --isq Q4K quantization flag.


97-97: Removed explicit loader flag in server CLI
The HTTP server example now omits -a minicpmo in favor of automatic loader resolution; the --isq Q4K option remains in place.


146-146: Cleaned up Rust imports
The VisionLoaderType import has been removed, leaving only the necessary types for auto loader mode.


153-153: Updated Rust builder signature
VisionModelBuilder::new now takes only MODEL_ID, relying on the new auto-loader. Ensure no downstream code still passes the old enum argument.

docs/QWEN2VL.md (3)

17-23: Approve ToC enhancements
The added nested Table of Contents organizes the documentation consistently with other vision model pages.


144-144: Cleaned up Rust imports
Removed VisionLoaderType from the import list, reflecting the shift to auto loader resolution.


151-151: Updated Rust builder signature
VisionModelBuilder::new now only requires the MODEL_ID string, leveraging auto detection of the loader type.

docs/IDEFICS3.md (5)

17-24: Approve ToC enhancements
The enhanced nested Table of Contents provides clear navigation for all new sections, aligning with other model docs.


40-40: Removed explicit loader flag in interactive CLI
The -a idefics3 argument has been dropped to enable automatic loader detection; the --isq Q4K flag remains.


112-112: Removed explicit loader flag in server CLI
Omitting the -a idefics3 argument aligns the HTTP server example with the auto-loader design while retaining quantization settings.


160-160: Cleaned up Rust imports
Eliminated the VisionLoaderType import, matching the updated builder API.


166-166: Updated Rust builder signature
Transitioned VisionModelBuilder::new to accept only MODEL_ID, deferring loader selection to the new auto logic.

@EricLBuehler EricLBuehler merged commit 380da23 into master May 14, 2025
13 checks passed
@EricLBuehler EricLBuehler deleted the auto_vision_loader branch May 14, 2025 00:04
This was referenced May 23, 2025
Jeadie added a commit to spiceai/mistral.rs that referenced this pull request Jul 14, 2025
* Fix handling of Metal fused attn head dims (EricLBuehler#1234)

* Fix handling of metal attn head dims

* Fix handling of gemma3 1b when images

* Tweak default for paged attn builder

* Support paged attn for vision model rust api (EricLBuehler#1235)

* [Breaking] Support setting HF cache path (EricLBuehler#1237)

* Add it internally

* Add the apis

* Support tool calling for DeepSeek models (EricLBuehler#1239)

* Support tool calling for deepseek models

* Format

* Fix deepseek

* Server image processing refactor and fixes (EricLBuehler#1244)

* Fix strict gemma3 case

* Accept multiple images in the content array

* Fix multiple images in one array ct

* Add it to the python api

* Typos

* Optimized CUDA RoPE kernels (EricLBuehler#1247)

* Add the kernels

* It works

* Works

* Buulds

* Typo fix (add_speial_tokens to add_special_tokens) (EricLBuehler#1246)

* Fix typo

* Update mistralrs.pyi

* Fixes for UQFF + distributed layers (EricLBuehler#1250)

* Fixes for uqff + distributed layers

* Typo

* Automatic agentic search integration (`web_search_options`) (EricLBuehler#1243)

* Add the tool

* Actually search

* Clippy

* Sort of works

* Remove some debuggers

* tweak

* Add some rules

* Works great

* Tweak 'system' prompt

* Update mistralrs-core/src/search/mod.rs

Co-authored-by: Copilot <[email protected]>

* Typo

* Add it to all the apis

* Add bert model for similarity reranking

* Typos

* Early detection of tools

* Alias max_tokens -> max_completion_tokens too

* Customizable bert model

* Flip the enabler around

* Add docs

* Update readme

* Typo

---------

Co-authored-by: Copilot <[email protected]>

* Format kernels (EricLBuehler#1251)

* Update readme

* Update readme

* Remove test

* Add quantize guards for uqff deserialize (EricLBuehler#1252)

* Refactor cuBLASlt-related code (EricLBuehler#1253)

* Centralize cublaslt into mistralrs-quant

* Use cublaslt in unquant layer

* Use beautiful trait constants for simpler code

* Move tests

* Dispatch to unquant for cublaslt

* Dispatch to unquant for cublaslt

* Fix feature

* Add convert_to_gptq script

* Update deps, bump pyo3 version (EricLBuehler#1259)

* Faster cuda FP8 performance (EricLBuehler#1257)

* Avoid fp8 sync

* Fix dtype

* Rust 1.86 clippy (EricLBuehler#1260)

* Rust 1.86 clippy

* Clippy

* Refactor engine arch (EricLBuehler#1262)

* Refactor engine add_request

* Don't recompile regex

* Clippy

* Revamped LoRA support - removing the Ordering system! (EricLBuehler#1263)

* Play with varbuilder lifetimes

* Merge lora weights

* Clippy

* Lora works

* Support multiple loras

* Cleanup, remove adapter activation

* Complete merge

* Fast Metal-specific quantization method: AFQ (EricLBuehler#1264)

* Add mlx quantized kernels

* Add mlx quantized kernels

* Kernel launcher

* Add AFQ isq quant and dequant

* Some quantmethod things

* Begin to implement the qmm caller

* Clippy

* Much faster

* Cache kernels

* Docs

* Clippy

* Add it to uqff

* Support prequantized models from MLX (EricLBuehler#1265)

* Refactor quantizedconfig

* Support AFQ prequantized

* Update docs

* Update docs

* Automatic ISQ to select fastest & most accurate method (EricLBuehler#1266)

* Automatic isq

* typo

* Doc

* Improved usage metrics (EricLBuehler#1267)

* Fix cuda

* Bump tokio from 1.44.1 to 1.44.2 (EricLBuehler#1270)

Bumps [tokio](https://github.com/tokio-rs/tokio) from 1.44.1 to 1.44.2.
- [Release notes](https://github.com/tokio-rs/tokio/releases)
- [Commits](tokio-rs/tokio@tokio-1.44.1...tokio-1.44.2)

---
updated-dependencies:
- dependency-name: tokio
  dependency-version: 1.44.2
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Gather MM ops in mistralrs-quant (EricLBuehler#1272)

* Update the caller

* Wire things up

* Broadcase for afq gathermm

* Broadcase for afq gathermm

* Clippy

* Improve performance of deepseek models

* Typo fix

* BincountOp not used

* Implement Llama 4! (EricLBuehler#1268)

* Implement Llama 4

* Implement the main changes for the text model

* Make chunked mask

* Wire things up

* Add some EP

* Initial sketch of inputs processor

* Runs

* Progress

* all reduce moes

* It works!

* Some cleanup

* Faster moe block

* Add device map

* Make chunked matrix

* Fully working now!

* Reactivate cublaslt

* Fix shared mlp cublaslt

* Refactor to packed experts

* Complete merge

* It is a normal model now

* Fixes

* Set device for moe

* ISQ fixes

* Much faster sort kernel

* Faster loading!

* Faster loading!

* Fp8 cpu copy ops in candle backend

* Add the vision model

* Add mmproj layer

* Actually merge the inputs

* Sketch most of the image processor

* Add the rest of the image processor

* Implement the whole processor

* Add the loader

* Some fixes

* A batch of fixes

* Some fixes

* tmp

* Actually support isq

* Ok it works a bit

* Fix norm device

* It works

* A bit cleaner

* Support residul tensors

* Remove text loader

* Implement the device mapping system

* Fix auto device map

* Add examples

* Add model card

* Typo

* Remove superflous logging

* Fixes for Llama 4 UQFF loading (EricLBuehler#1275)

* Support sharding for UQFF (EricLBuehler#1276)

* Serialize sharded uqff files

* Loading

* Fix base64

* Fix bug for group-topk (group_limited_greedy) in deepseek models (EricLBuehler#1278)

* Support the DeepCoder model (EricLBuehler#1279)

* Add faq for metal not found

* Improved PagedAttn scheduling accuracy (EricLBuehler#1282)

* Scheduler ops by reference

* Ensure scheduler gets correct prompts

* Fix cuda build for copy_blocks

* Fixes for scheduling image seqs with pagedattn (EricLBuehler#1283)

* update to llguidance 0.7.16 (EricLBuehler#1284)

* update llguidance to 0.7.16 from crates.io; use ParserFactory

* add lark_llg.py example

* use new llguidance::Matcher APIs

* rework spec-decoding with llg

* more work on spec sampling

* check for parser stop

* fix clippy

* remove unneeded rollback

* update build_llg_factory to return Result

* Update dependencies (EricLBuehler#1286)

* Much faster image inputs processing (EricLBuehler#1289)

* Add more SDPA head dims for much faster SigLIP (EricLBuehler#1290)

* More sdpa head dims, faster vision models

* Move nonzero to above for faster metal synch

* Doc

* Update valid head dims

* Show throughput in interactive mode (EricLBuehler#1291)

* Update interactive mode throughput stats

* Accurate prompt t/s

* Accurate prompt t/s for usage

* Unify bitwise operations (EricLBuehler#1288)

* Unify bitwise ops

* Tests pass

* Fix cuda build

* Clippy

* Multimodal prefix caching support! (EricLBuehler#1298)

* Initial progress

* Support vision prefix caching

* Update docs

* Add multimodal data abstraction

* Interactive mode improvements (EricLBuehler#1299)

* More ergonomic image url parsing

* Add option to clear

* Add the Qwen 3 and Qwen 3 MoE models! (EricLBuehler#1285)

* Add qwen3 model

* Add enable_thinking

* Add initial qwen3 moe

* Add the moe model

* Format

* Fix order of norm

* Fix expert shapes

* Fix reverse

* Fix norm device for isq

* Fix nonzero when no nonzero

* Moe model runs

* Working qwen3 moe

* Add metal fp8 blockwise dequant

* Clean

* Typo

* Enable tool calling

* Streamlined ux

* Add some examples

* Add docs

* Fix dead link

* Remove interactive mode max_len

* Update QWEN3.md

* Hotfix for vision mode clear

* Revamped and streaming web search support (EricLBuehler#1301)

* Streaming web search

* Refactor a bit

* More refactoring

* Add some logging, parallelize some things

* Allow url

* Suppress warning, allow multi-turn searching

* Batch compute_similarities

* Cap content len

* Typos

* Doc

* Handle vision messages or different tool call prefixes (EricLBuehler#1302)

* Fix cuda

* Tune web search budget

* Simplify prefix cacher (EricLBuehler#1305)

* Use rustyline to handle non-ascii in interactive mode (EricLBuehler#1306)

The io::stdin().read_line() cannot handle non-ascii input, which caused
crash when use backspace to delete non-ascii characters.

Introduce rustyline to the interactive mode to solve the problem. Plus
it can bring more editing features in the future.

Close EricLBuehler#1140

* Add more tools for automatic search (EricLBuehler#1307)

* Add interactive mode history

* Add a website extraction tool

* Pass toks by reference

* Optimize prompt chunking

* Fix CPU hogging in interactive mode (EricLBuehler#1309)

The log enabler should be checked after the sleep instead of a busy
loop checking.

Since the interactive mode always disables the token speed logger, 100%
CPU was taken by this loop always.

* Add Metal precompilation support  (EricLBuehler#1311)

* Add metal precompilation for paged attn

* Add for mistralrs-quant

* Better constructor

* Dont always build

* Fix name for paged attn rebuild

* Reduce thrashing of Metal autorelease (EricLBuehler#1313)

* Reduce calls to autorelease

* Optimize clone_in_cache

* Refactor float8

* make `AdapterPaths` and `LoraAdapterPaths` public (EricLBuehler#1314)

Make `AdapterPaths` and `LoraAdapterPaths` public so `LocalModelPaths`
can be constructed outside of `mistralrs-core`.

* Refactor KV cache manager (EricLBuehler#1315)

* Refactor kv cache

* Refactor caches

* Fix some overflows

* Add `Audio` and `Speech` model categories (EricLBuehler#1317)

* add `Audio` to `ModelCategory`

* add `Speech` to `ModelCategory`

* fix to go back to PartialEq having an exhaustiveness check

* Remove has_conv2d from vision model API (EricLBuehler#1318)

* Unified/automatic flash attention enabler (EricLBuehler#1319)

* Remove from sdpa params

* Fix errors

* No warnings

* Log

* Clippy

* Fix cublaslt 4d mask (EricLBuehler#1320)

* Fix cublaslt 4d mask

* Clippy

* Keep caches on gpu

* Qwen VL models fixes (EricLBuehler#1322)

* Add some defaults

* Fix

* Fix one thing

* 2.5 vl works

* Use caching again

* Fix v2

* Move index inside loop

* Offset in ropeidx

* Default support for vision prefix caching is false

* Fixes for all vision models (EricLBuehler#1323)

* Fix phi input processor?

* Fix phi input processor

* Handle no_prefix_cache from pipeline

* Phi models confirmed 👍

* Fixed for phi inputs processors

* Fixed for phi4

* Llama 3 confirmed 😀

* Mistral 3 confirmed 😃

* Idefics 2/3 fixes

* Some fixes

* Remove unsafety

* Improved+faster LRU prefix cacher (EricLBuehler#1321)

* Show TTFT

* Use LRU prefix cacher

* Faster prefix cacher

* Inplace ISQ support and default to mmap (EricLBuehler#1277)

* Initial impl of immediate isq

* Immediate isq -> !loading_isq

* Varbuiler utils always using mmap!

* Log

* Add for packed experts

* Afq without copy

* Clarify

* Clippy

* Apple immediate isq

* Better logic for loading_isq

* Support showing ttft

* Rename

* Shared quantize guard

* Parallel progress bar

* Parallel loading for progress bars

* Actual ISQ support

* Conditional parallelism for NiceProgressBar

* Use conditional iterator

* Warn once

* Predicate for applying immediate isq

* Allow parallel

* Remove debug print

* Remove debug print

* Remove debug print

* Fix typos (EricLBuehler#1329)

* Fix Idefics 3 arch chat templating (EricLBuehler#1330)

* Update inputs merger

* Fix

* Better warning

* Better warning

* Better warning

* Nonzero ahead of time

* No f32

* Clippy

* Optimize get_logprobs

* Fix packed experts

* Update masking

* Use Sdpa in idefics3

* QuantMethod in idefics3 vision

* Remove a .contiguous

* Remove two space from PR comment (EricLBuehler#1331)

* Add automatic vision loader type (EricLBuehler#1332)

* Add automatic vision loader

* Remove references to --arch

* Update examples

* Add the Dia 1.6b TTS model! (EricLBuehler#1304)

* Add loading

* Add rope, mlp, most of attn

* Add encoder + encoder layer, decoder layer forwards

* Add decoder forwards

* Add prepare_audio_prompt

* prepare_generation mostly done

* Add a proper dia kvcache

* Add most of decoder_step

* Add the sampler

* Add the generation loop

* Wire things up

* Add speech pipeline

* Fixes

* Loads

* Some fixes

* f32

* Some progress

* Ok it runs upto dac decoding

* Add dac part loading

* Loads and runs at least

* Remove encodec

* Debugging

* Debugging

* Huh

* Complete merge

* Interactive

* Confirmed dac works at least

* Looks like encoder works

* Much progress

* Hmm

* Sampling

* Almost there

* Sampler

* Sampler

* Bf16 support

* Response

* Use it in interactive mode

* Fix oneshot

* Add openai api

* Add openai api

* Refactor loading

* Use naive sdpa for inplace

* Factor out

* Clippy

* Clippy

* Config

* Refactor config

* Metal clippy

* Fix t/s

* ISQ support

* Some fixes, nits

* Fix cuda

* Clippy

* Inhibit cublaslt for cuda

* Add server example

* Add python example

* Add rust api

* Add docs

* Update config.toml

* Fix .pyi

* Update readme

* config.toml tweak

* config.toml tweak

* config.toml tweak

* config.toml tweak

* config.toml tweak

* config.toml tweak

* config.toml tweak

* config.toml tweak

* config.toml tweak

* update `llguidance` to `0.7.20` (EricLBuehler#1334)

Update `llguidance` from `0.7.16` to `0.7.20` so that it has guidance-ai/llguidance#172 which is a fix for building on GCC 15.

* Add model category <> messages check (EricLBuehler#1335)

* Verify model category matches the messages

* Add vision chat

* Fixes

* Add element-wise normalization check (EricLBuehler#1340)

* Fix streaming example print statement (EricLBuehler#1339)

* Fix normalization formula in comment (EricLBuehler#1338)

* Fix image_to_pixels to handle non-RGB images (EricLBuehler#1337)

* Fix typo in expect messages (EricLBuehler#1342)

* Don't use mmap on cuda (EricLBuehler#1336)

* No mmap on cuda

* Simplify streaming tool call logic

* Remove debug

* Support AWQ format models (EricLBuehler#1350)

* Support AWQ format models

* Clippy fix

* Fix uqff dummy layer ISQ application (EricLBuehler#1351)

* Disable immediate isq if write_uqff (EricLBuehler#1352)

* Fixes for UQFF loading on CUDA, ISQ pack factor (EricLBuehler#1354)

* Fix logic for uqff on cuda

* Updated pack_factor

* Refactor Option references for model paths (EricLBuehler#1347)

* refactor: use Option refs in model path helpers

* Format

* Add a script for server benchmarking (EricLBuehler#1355)

* Serde alias

* Fix

* Update for tie_word_embeddings

* Print running/waiting

* 30 users

* Update num_users

* Update dummy paged attn

* Optimized Metal qmv_fast path (EricLBuehler#1356)

* Compile with lto

* Tweak profiles

* New, fast sampler for Metal! (EricLBuehler#1327)

* Show TTFT

* Use LRU prefix cacher

* Faster prefix cacher

* A bit of gpu sampling

* Minp but cpu for now

* Metal fast cumsum impl

* Sampling with fast topp kernel

* Hmm not perfect

* Add metal sort kernels

* Tmp

* Add single block sort

* Add most of multi block sort, just need copy op

* Add copy kernels

* Expose kernels

* Add a test

* Ok it works

* Structure things

* Add caching

* Rename

* Cpu is default

* CUDA case

* Topk

* Refactor Option references for model paths (EricLBuehler#1347)

* refactor: use Option refs in model path helpers

* Format

* Add a script for server benchmarking (EricLBuehler#1355)

* Serde alias

* Fix

* Update for tie_word_embeddings

* Print running/waiting

* 30 users

* Update num_users

* Update dummy paged attn

* Optimized Metal qmv_fast path (EricLBuehler#1356)

* Compile with lto

* Tweak profiles

* Fix topk

* Penalties

* Add logits processor, clippy fixes

* Fix chat port

* Remove warning

* Fix chat port

* Fix metal parallel sampling (EricLBuehler#1357)

* Cpu if parallel for now

* Tweak bench script

* Add immediate isq predicates for qwen3 (EricLBuehler#1358)

* Add immediate isq predicates for qwen3

* Fix parsing of "parse_isq_value" depedent of device

* Typo

* Fix gemma3 logging

* Regressions fixes (EricLBuehler#1359)

* Fix regression for mmap

* Revert EricLBuehler#1321

* Refactored matching_cache impl

* Clippy

* Revamped and smaller readme (EricLBuehler#1360)

* Expandable detail sections

* Refactor using derivative model

* Tweak quick examples

* Update llama

* Update llama

* Supported accelerators is a table

* Update installation guides

* Tweak apis

* Remove --port in quick examples

* Add demo gif

* Add gif in readme

* Update demo gif

* Update demo gif

* Update demo gif

* Add gif in readme

* Add gif in readme

* Add a web chat app! (EricLBuehler#1362)

* Initial

* Markdown

* Copy code

* Add model loading sidebar

* Support vision models

* Tweak isq

* Links go to another page

* Clear when switch model

* Fix html tags

* Add image support!

* More then one images

* Fix

* Improved textarea

* Tab for switching between vision and text

* No paged attn for now

* Prettier format

* Multiple models at once

* Better switching, clearing ability

* Mobile support

* Inline markdown parser

* Update examples

* Typos

* Support specifying isq

* Fix mobile

* Fixes

* Fix button on mobile

* Image height is capped

* Thumbnail

* Fix rotating kv cache edge case

* Add drag and drop for images

* Small things

* Sidebar is frozen now

* Better listner

* Add readme

* Tweak readme

* Add chat history support to web chat app (EricLBuehler#1363)

* Add chat history

* Support renaming

* Start immediately with new chat

* Add timestamp

* Prettier chat list

* Style

* Delete chat

* Fix copy button

* Fix markdown rendering

* Store things in cache

* Store things in cache

* Refactor web chat, fix multichat image restore (EricLBuehler#1364)

* Fix multichat image restoration.

* Clippy

* Refactor

* Refactor frontent

* Fix repeated immediate isq init (EricLBuehler#1365)

* Add images_ref

* Add debug impl

* Fix the bug

* Tweak style of buttons

* Add a spinner

* Move spinner

* Tweak emoji

* Add gif

* Tweak initial gif

* Include vision tower tensors in Mistral3 UQFF (EricLBuehler#1366)

* Fix mistral 3 uqff resitdual tensors for vision

* Rolling shard creation for uqff files (EricLBuehler#1367)

* Fix occasional unstability during isq of afq (EricLBuehler#1368)

* Fix unstability during isq of afq

* Clippy

* Fix web chat installation

* Support web chat file uploading (EricLBuehler#1370)

* Web chat fixes

* Fix thumbnail in message, reuse blank chat

* Add file uploading support

* Fix scroll

* Allowed extensions

* Preserve files as literals

* Support multiple clients

* Add a stop button

* New cache dir

* New cache dir

* Fix

* Refactor

* Update readme

* Tweak drag-and-drop css

* Add speech generation support to the web chat! (EricLBuehler#1373)

* Initial speech gen support for web chat

* Tweak ui

* Update docs

* Prefix caching for PagedAttention! (EricLBuehler#1369)

* Exposing some things for logical token blocks

* Prefix cache manager has the scheduler

* Refactor

* Get logical and physical blocks into the prefix cacher

* Hash and cache

* Pass physical block prefill

* Allocation of prefilled block tables

* Temp

* Dont always use 2

* Hmm

* Hmm

* It mostly works

* Increment refcount

* Support images!

* Add to dummy paged attn

* Fix some clippy

* Clippy

* More checks

* Include EricLBuehler#1371, closes EricLBuehler#1371

* Typos

* Update docs

* Metal PagedAttention accuracy improvements (EricLBuehler#1374)

* Fix subtle bug

* Fix half sum bug

* Format metal paged attention

* Handle images in paged attn scheduler (EricLBuehler#1375)

* Include schemas needed for chatcompletions endpoint (EricLBuehler#1353)

* EricLBuehler#1326: WIP include schemas needed for chat completions endpoint

 Conflicts:
	Cargo.lock
	mistralrs-server/src/main.rs

* EricLBuehler#1326: WIP define utoipa as a workspace dep since core and server both need it

* EricLBuehler#1326: first draft of handling schemas that use Either

* EricLBuehler#1326: first draft of handling schema for Grammar

* EricLBuehler#1326: Add in other endpoints to API docs.

* EricLBuehler#1326: Adjust code comments

* EricLBuehler#1326: Implement coderabbitai suggestions

- EricLBuehler#1353 (review)
- EricLBuehler#1353 (comment)

* Fix constraints with metal sampler

* Revert EricLBuehler#1375

* Fix case where prefix cacher returns no toks (EricLBuehler#1377)

* Fix AFQ UQFF serialization

* Faster UQFF serialization (EricLBuehler#1379)

* Faster UQFF serialization

* Fix uqff gemma3

* Improve gemma3 auto loader names

* UQFF creation for AFQ on CPU support (EricLBuehler#1380)

* Add afq cpu quantize/dequantize

* Clippy

* Improved device for afq quantize

* Improved dtype handling for cpu afq (de)quantize

* Improved generate_uqff_card

* Add fused CPU attention kernel! (EricLBuehler#1382)

* Working

* Fix warnings

* Allow mask

* Support bf16, f16

* Handle striding

* Parallelized

* Add initial vector flash attn

* Avoid repeated allocations

* Tiled kv

* Apply some clippy

* Some small fixes

* Chunked vec_dot

* Clipy

* Use T::zero

* Refactor attention backends (EricLBuehler#1384)

* Refactor attention code

* Refactor attention code

* Move into backends

* Set macOS thread affinity for CPU attn (EricLBuehler#1385)

* Use lazylock

* Format

* Fix metal warn build

* Faster Qwen 3 MoE support on Metal (EricLBuehler#1387)

* Fix load

* Use afq gather qmm

* Well it runs

* It works

* Polish

* Fast and slow options

* Remove quantized.rs

* Polish some more

* Refactor

* Add isq

* Update load in parallel

* Support fp8

* Refactor for FusedExperts

* Clippy

* Handle pack factor when loading prequantized models

* Use f32 only in moe

* Avoid using f32 so much

* Avoid using f32 so much

* Fix PagedAttention block leaks (EricLBuehler#1388)

* Warn and ignore if ignored

* Fix a block allocation leak

* Update bench.py

* Fix double free in block engine

* Do not apply ISQ if loading a prequantized model

* Fix cuda build again (EricLBuehler#1389)

* Fix cuda build

* Fix

* Format

* Fixes for cuda docker

* Update dockerfiles

* Bump version to 0.6.0 (EricLBuehler#1390)

* Bump version to 0.6.0

* Remove lower_level api

* Make a static dir

* Update deps

* Fix routing for static handler in web chat

* Fewer .contiguous calls for qwen3 moe (EricLBuehler#1391)

* Allow speech models to accept batched inputs (EricLBuehler#1393)

* Allow speech models to accept batched inputs

* Clippy

* Ring distributed backend for heterogeneous TP (EricLBuehler#1238)

* Begin work on ring distributed backend for Metal

* Add the actual ring functionality

* It loads and kind of runs

* It works

* Optimize buffer allocation

* Avoid copy

* It works

* Add allgather

* Fix load

* Ping-pong

* Small things

* Add config json

* Allow different ip address

* Read config once

* Read config when appropriate

* Replicate requests

* Small fix

* Fix small compat with openai

* Clippy

* Update docs

* Add deepseek tool calling chat template

* Add auto loader for vision/text detection! (EricLBuehler#1402)

* Add auto loader for vision/text detection

* Build fixes

* Add model loader

* Update docs

* Format

* Create Mistral.rs Server Core Lib: `mistralrs-server-core` (EricLBuehler#1346)

* First draft of exposing mistral server routes as lib

* make arg struct fields pub

* Take base path so utoipa swagger route can properly redirect

* Expose swagger routes and make it configurable

* Add base path option for swagger docs

* More work on modularizing mistralrs server

* Sync fork (+1 squashed commit)
Squashed commits:
[169ae9e] Sync fork

* Adjust fn params to use refs / individual params instead of args

* Start breaking down controller actions into smaller pieces

* Continue refactoring

* Make mods pub so they can be used outside crate

* Allow chat completion streamer to take a callback so that you can get the complete response when finished

WIP (+3 squashed commits)
Squashed commits:
[0061d87] WIP
[c484d56] WIP
[16f8a60] WIP

* Sync fork

* Adjust callback type

* Remove throughput_log arg that was removed in 26afcc3

* Implement defaults for Args (and use for Clap)

* Small code formatting tweaks

* Rename callback to match SSE event and code clean up

* Sync fork

* WIP: first very rough draft of server core builder. Doesn't meet parity with old functional approach yet (slower / unstable?).

* Clean up (+4 squashed commits)
Squashed commits:
[e1cff387] Sync fork
[d8301025] WIP debugging
[1ea9f8c8] Sync fork
[4fe28cf5] WIP: debug function

* WIP server core builders

* Code clean up

* Add on_chunk callback

* Code clean up

* First draft of creating version of mistral-server that uses server-core

Code clean up (+1 squashed commit)
Squashed commits:
[adea1693]

* Sync fork

* Add helper methods to builder to make optional args more ergonomic (since .build validates params)

* Start adding docs

* Start cleaning up crates deps

* Example commit of mistral-server with implementing server-core

* Start addressing CodeRabbit feedback

* Fix comment typo

* Tweak doc blocks

* - Update type alias naming for clarity (MistralRs instead of Mistral)
- CodeRabbit, don't use eprintln for lib (use trace)
- Allow buffer size to be passed in and default to Constant
- Allow router body limit to be passed in and default to Constant
- Update doc examples

* Typo

* Address CoderRabbitAI feedback

* Support linear rope for llama3 (EricLBuehler#1408)

* Hotfix for loading

* Fix vllama4 uqff loading (EricLBuehler#1409)

* Fix vllama4 uqff loading

* Fix regex

* Fix regex

* Maybe a fix

* Gracefully handle receiver disconnects (EricLBuehler#1410)

* Handle receiver disconnects

* Format

* Fix Qwen3 MoE device mapping irregularities (EricLBuehler#1411)

* Fix bias

* Fix lm_head packing case

* Account for gate

* Fix head dim

* Fix interactive mode URL parsing (EricLBuehler#1412)

* fix url regex in vision interactive mode

* Fix regex

* Clippy

* Refactor auto device map (EricLBuehler#1413)

* Refactor auto device map

* Refactor a bit more

* Clippy

* Enable runtime sampling tweaks in interactive mode (EricLBuehler#1414)

* Document runtime sampling commands

* Fix readme

* Tweak

* Bounds checking

* Tweak temp bounds

* Send streaming tokens every time

* Gumbel sampling for fast sampler (EricLBuehler#1416)

* Improved handling for initialize_logging

* Improved CPU flash attention accuracy & performance (EricLBuehler#1417)

* Downcast correctly

* Operate internally in f32

* Avoid some casts and striding

* Prefetch

* Provide chat_templates to container users (EricLBuehler#1419)

Models often come without chat templates requiring mapping them
from the source repository into a container for access by the
mistralrs-server.

Copy the templates from the build tree into the root of the image
to permit use via `--chat-template /chat_templates/something.json`

TODO:
  With the increase in quantized models and support for other
formats, the initial benchmark run during model load can be used
to qualify/select existing chat templates embedded into the binary
for models which do not come with any (to include output of the
functional failures in each test allowing users to modify the
ones already provided correctly to suit the model being loaded).

Co-authored-by: RageLtMan <rageltman [at] sempervictus>

* Faster cpu flash attn (EricLBuehler#1418)

* Faster cpu flash attn

* Prefetch

* Clippy

* Add some tests

* Add softcap tests

* Fix test_parse_image_url test

* Update tests

* Update tests

* Web search improvements (bm25, web chat) (EricLBuehler#1420)

* Fix web search blocking case

* Web search support in web chat

* Tweak ui

* Support fallback to bm25

* Clippy

* Reinject descriptions

* Propely handle consecutive searches (EricLBuehler#1421)

* Update extraction tool reinjection

* Looped

* Update docs (EricLBuehler#1422)

- lib.rs: clean up example var names and match logging change from EricLBuehler@201d6be
- server_builder: fix typo
- READMEs: link to crate docs

* Better tool call detection logic (EricLBuehler#1424)

* Add web search hook callbacks (EricLBuehler#1426)

* feat: add customizable search hook

* Move to builder

* Update docs

* Fix CUDA context switching, bind thread on CudaStorage drop (EricLBuehler#1428)

* Add CUDA context helper and use in Llama forward

* No flashparams?

* working

* Tweak

* Update to use dep

* conditionally build flash attention inputs (EricLBuehler#1429)

* Add AGENTS.md (EricLBuehler#1430)

* Support Qwen3 GGUF model (EricLBuehler#1432)

* Support QWen3 GGUF model

* Clippy fix

* cargo fmt

* Improved paged attn prefix caching (EricLBuehler#1434)

* Improved paged attn prefix caching

* Disable

* Clippy

* Temporary fix for qwen3 gguf tokenizer (EricLBuehler#1433)

* Temporary fix for qwen3 gguf tokenizer

* Typo fix

* Add tool callback support (EricLBuehler#1427)

* Add tool callback support

* Fixes

* Support named tool callbacks

* Update examples

* Update docs

* Clippy

* Centralize crate dependencies (EricLBuehler#1438)

* chore: centralize dependencies

* Format

* Fix bug in tokenizer created with gguf metadata (EricLBuehler#1440)

* Fix bug in tokenizer created with gguf metadata

* Clippy fix

* Update deps (EricLBuehler#1441)

* Small things

* Update deps

* Update deps

* Update breaking changes

* Doc fixes (EricLBuehler#1442)

* Mention uqff_maker

* Downgrade rustyline 16.0.0 -> 15.0.0 (EricLBuehler#1444)

* Add max_completion_tokens alias for server (EricLBuehler#1451)

* Audio input support (Phi 4 multimodal) (EricLBuehler#1448)

* Deps

* Add conformer

* Nemo loading

* Position embeds

* Load t5 attn bias

* Attn and feed forward

* Add conv module and glu pointwise

* Implement relative attn bias

* Add the forward methods

* Add encoder embedding

* Fix oproj

* Some loading

* Conformer loads!

* Fully loading speech stack

* Merger

* Dont need that

* First pass at audio processing

* Read samples

* Optional

* Small loading fix

* Runs but not correct yet

* Improved audio processing?

* Works with this

* Fix t5 attn bias

* It works!

* Comment

* Use some other crates

* Clippy

* Allow bf16 on metal

* Add prefix_audio

* Remove unused

* Typo

* User specified

* Add audio url parsing

* AudioProjectionMode -> InputMode

* Audio prefix caching

* Fix bug in audio prefix caching

* Support both at the same time!

* Tweak logging

* Support stereo

* Add mistralrs-audio

* Support batching

* Add server and rust api example

* Add python api

* Fix add_multimodal_message

* Fix unfold for conformer

* Streaming example

* Add web chat support

* Add modalities registry

* Fix offline cache issue for gguf models (EricLBuehler#1452)

* Add MCP server endpoints (EricLBuehler#1453)

* feat(server): add MCP server support

* Add mcp docs

* Add handle_list_tools_request

* Better launch, tool handling

* Tmp state

* Ok works

* Handle modalities

* Update docs

* Add ping

* Tweak temperature bounds, args

* MCP documentation pass (EricLBuehler#1455)

* Fix table

* Update mcp docs

* Improve readme header

* Improve readme header

* Integrate an MCP client (EricLBuehler#1456)

* Add builtin mcp client

* Use async loader

* Add headers

* Handle sse

* More flexible search request

* Add tool callbacks with tools, for mcp

* Add bearer token support

* Add websocket support

* Update docs

* Add python api

* Clippy

* Add http api, docs

* Tests pass

* Make these configs actually work

* Add docs

* Make mistralrs-mcp

* Refactor examples

* Update examples

* Add defaults

* Add defaults

* Add defaults

* Update docs

* Improved docs

* Add -y to npx usages

* Even better examples

* Update generate_wheels

* Update generate_wheels

* Update generate_wheels

* Fix Dockerfile.cuda-all

* Improve automatic tool call (EricLBuehler#1460)

* Improved auto tool call

* Add logging

* chore: `Dockerfile.cuda-all` configurable threads (EricLBuehler#1458)

* chore: `Dockerfile.cuda-all` - Merge `RUN` for `apt-get install` (EricLBuehler#1459)

* Add fallback definition for isnan (EricLBuehler#1463)

* chore: `Dockerfile` - Drop runtime rayon thread ENV (EricLBuehler#1465)

* chore: Dockerfile - Remove rayon threads env

* chore: Dockerfile - Improve formatting for `apt-get`

* Remove duplicate calls for api_dir_list (EricLBuehler#1474)

* Remove duplicate calls for api_dir_list

* Support local cache for api_dir_list

* Fix home folder for metal

* Capitalized

* Fix transient pyo3 dep (EricLBuehler#1478)

Co-authored-by: Eric Buehler <[email protected]>

* Fix objc dep with non macos (EricLBuehler#1480)

* Fix phi 3/4 + nccl issue (EricLBuehler#1481)

* Fix log

* Fix n kv heads

* Fix phi3.5 moe (EricLBuehler#1482)

* Fix phi3.5 moe accum device

* Fix again

* Fix again

* Support GLM4 model! (EricLBuehler#1437)

* Support GLM4 model

* Mention GLM4 model in ReadMe

* glm4 type hint

* Typo fix

* Fix unsupported chat_template function

* Clippy fix

* Refactor distributed backend (EricLBuehler#1484)

* Refactor distributed backend, check power of 2

* Fix compilation

* Cap metal paged attn kv allocation (EricLBuehler#1485)

* Better paged attn metal cap (EricLBuehler#1486)

* Better paged attn metal cap

* Small fix

* Comment

* Small fix

* Refactor

* Server core: consolidate and unify route handlers and API surface (EricLBuehler#1423)

* Start working on consolidating completion and chat_completion underlying implementations

* Move response channel to util mod for now (since it's used with streaming and non streaming)

* More work on consolidating completions and chat completions

* More WIP consolidation of server core handlers

* More WIP consolidation of server core handlers

* More WIP consolidation of server core handlers

* Update docs and restrict completion core visibility

* CodeRabbit feedback: remove logprobs warn from route handler since parse request also checks this

* Use consistent var name for completions mod

* Make route handler modules public API consistent (same fn names, etc.) and provide proxy fn that wrap core fns so core mod doesn't have to be pub
Make lib.rs example compile checked and update example

* Code formatting

* Typo

* Sync fork

* Sync fork

* Docs example fix

* Support qwen3 gguf (EricLBuehler#1488)

* Add qwen3 gguf

* Template fixup

* Make bos/eos token IDs optional (EricLBuehler#1493)

* Remove python deps from CUDA dockerfiles (EricLBuehler#1487)

* Handle noncontiguous v in naive_sdpa (EricLBuehler#1499)

Co-authored-by: Eric Buehler <[email protected]>

* Server Core: refactor Paged Attention configuration (EricLBuehler#1500)

* Use StorageModePrivate for Metal PA kv cache (EricLBuehler#1506)

* Fix OpenAI stream: emit field in tool-call deltas for schema compliance (EricLBuehler#1507)

* FP8 KV-cache quantization for PagedAttention (EricLBuehler#1400)

* Add most of paged attn kv quant

* It builds a bit

* All the functionality at least

* Small fix

* Add a scale

* Fix bf16 usage

* Make k_v_scale optional

* Collector

* Tweak collection

* Refactor

* Add to apis

* Add cuda impl

* Fix compilation

* Fixes

* Handle ENABLE_FP8

* Format

* Tweak

* Fix scaled_convert usage

* Fix cache_t size

* Fixed scale collection

* Actual fix

* Fix fp8 for CC<8

* Fix the usual String != &str bit (EricLBuehler#1483)

Co-authored-by: RageLtMan <rageltman [at] sempervictus>

* chore: `Dockerfile` - Drop runtime rayon thread ENV (EricLBuehler#1465)

* chore: Dockerfile - Remove rayon threads env

* chore: Dockerfile - Improve formatting for `apt-get`

* Remove duplicate calls for api_dir_list (EricLBuehler#1474)

* Remove duplicate calls for api_dir_list

* Support local cache for api_dir_list

* Fix home folder for metal

* Capitalized

* Fix transient pyo3 dep (EricLBuehler#1478)

Co-authored-by: Eric Buehler <[email protected]>

* Fix objc dep with non macos (EricLBuehler#1480)

* Fix phi 3/4 + nccl issue (EricLBuehler#1481)

* Fix log

* Fix n kv heads

* Fix phi3.5 moe (EricLBuehler#1482)

* Fix phi3.5 moe accum device

* Fix again

* Fix again

* Support GLM4 model! (EricLBuehler#1437)

* Support GLM4 model

* Mention GLM4 model in ReadMe

* glm4 type hint

* Typo fix

* Fix unsupported chat_template function

* Clippy fix

* Refactor distributed backend (EricLBuehler#1484)

* Refactor distributed backend, check power of 2

* Fix compilation

* Cap metal paged attn kv allocation (EricLBuehler#1485)

* Better paged attn metal cap (EricLBuehler#1486)

* Better paged attn metal cap

* Small fix

* Comment

* Small fix

* Refactor

* Server core: consolidate and unify route handlers and API surface (EricLBuehler#1423)

* Start working on consolidating completion and chat_completion underlying implementations

* Move response channel to util mod for now (since it's used with streaming and non streaming)

* More work on consolidating completions and chat completions

* More WIP consolidation of server core handlers

* More WIP consolidation of server core handlers

* More WIP consolidation of server core handlers

* Update docs and restrict completion core visibility

* CodeRabbit feedback: remove logprobs warn from route handler since parse request also checks this

* Use consistent var name for completions mod

* Make route handler modules public API consistent (same fn names, etc.) and provide proxy fn that wrap core fns so core mod doesn't have to be pub
Make lib.rs example compile checked and update example

* Code formatting

* Typo

* Sync fork

* Sync fork

* Docs example fix

* Support qwen3 gguf (EricLBuehler#1488)

* Add qwen3 gguf

* Template fixup

* Make bos/eos token IDs optional (EricLBuehler#1493)

* Remove python deps from CUDA dockerfiles (EricLBuehler#1487)

* Handle USE_FP8 for cuda

* Fix cuda warn

* Add readme

* Saturating sub in sequence state

---------

Co-authored-by: Eric Buehler <[email protected]>
Co-authored-by: RageLtMan <[email protected]>
Co-authored-by: Brennan Kinney <[email protected]>
Co-authored-by: Guoqing Bao <[email protected]>
Co-authored-by: Matthew Haynes <[email protected]>

* Validate model name in OpenAI API (EricLBuehler#1509)

* Validate model name in openai api

* Add docs, allow 'ignore'

* Updated examples for EricLBuehler#1509

* Fix mcp import in doc string (EricLBuehler#1510)

* Add multi-model support! (EricLBuehler#1512)

* Refactor MistralRs

* Working multi-model!

* Add mutli-model docs initially

* Update mistralrs-pyo3, mistralrs-bench, mistralrs

* Update apis for consistency

* API tweaks

* Logging tweaks

* Add examples, tweak cli

* Clearer pipeline id

* Fix config key semantics

* Format and clippy

* Tweak logging, fix example

* Clippy refactor

* Update examples

* Remove unused multi model docs

* Replace 'ignore' with 'default'

* Update docs

* Add stars label to readme (EricLBuehler#1513)

* Add CLAUDE.md

* Handle base_model.model case in lora (EricLBuehler#1514)

* Add thread_local! for engine-specific const/static (EricLBuehler#1517)

* Fix MCP doc test (EricLBuehler#1511)

* Allow disabling metal precompilation (EricLBuehler#1518)

* Allow disabling metal precompilation

* Simple preprocessor

* Simple docs

---------

Co-authored-by: Eric Buehler <[email protected]>

* Rust 1.88 clippy (EricLBuehler#1522)

* Rust 1.88 clippy

* Format

* Fix cuda warnings (EricLBuehler#1526)

* Avoid panic decoding tokens on error (EricLBuehler#1527)

* Split Marlin and Paged Attention kernels for faster build (EricLBuehler#1525)

* Split Marlin and Paged Attention kernels for faster build

* Typo fix

* chore: update llguidance (EricLBuehler#1535)

* chore: update llguidance

* chore: remove unused import

* Add the SmolLM3 model! (EricLBuehler#1501)

* Add model

* Update loader

* Fix llama config usage

* Docs

* Fix config no_rope_layers

* Fix tie_word_embeddings default

* Add chat template

* Embed the chat templates

* Fix embedding template

* enable_thinking default true

* Update examples

* XML tools for smollm3

* Add smollm3 docs

* Fix openai examples

* Clippy

---------

Co-authored-by: Eric Buehler <[email protected]>

* Add full Gemma 3n support! (EricLBuehler#1519)

* Add initial

* Loading for text model

* Add ple embeddings

* Add altup, laurel block

* Update rmsnorm

* Add mlp

* Update attn norm application

* Currently no kv shared

* Wire it up

* It runs

* Fix bf16

* Fix scaled embd

* Fixes for mean

* tmp

* Attn confirmed

* Fix target_magnitude

* Add shared kv

* Ok it works

* Remove npy

* Fix streaming

* Remove warnings

* Remove paged attn

* Refactor rope

* Add immediate isq

* Add vision & mproj

* Update image processor

* Vision merge runs, not correct

* Remove

* Add mobilenet v5

* Add multimodal vision embedding

* Fix load

* runs

* Fix gamma

* Works but just not vision tower

* It works!!

* Tweak

* Fix warnings

* Move vision tower

* Fix warn

* Update cache manager things

* Refactor

* Add audio model, it loads

* Add audio processing

* It runs at least

* tmp

* A bit better

* Audio works!!!!

* Fused attn in vision

* Clippy

* Update audio runner

* Optimized audio model

* Remove unused things

* Fix inputs processor bug

* Remove comments

* Clippy

* Small optimizations

* Format

* Correctly register modalities

* Add docs

* Update readme

* Runs there

* Fixed padding from Blaizzy/mlx-vlm#410

* Add better checks

* Fix sdpa n_kv_groups

* Vision encoder works!

* Rotate image

* Clippy

* Fix cuda loading

* Updated device mapper

* Fix overflow

* Fix dtype errors

* Refactor image/audio embeddings

* Fix metal

* Fix dtype mismatch

* Audio processing fixes

* Audio processing fixes

* Works

* Audio is good

* Fix boi/eoi too

* Embed the chat templates

* Better embedding accuracy in non f32

* More f32

* Support bf16 on metal

* Add more ISQ

* Fixed device map

* Clippy

* Gemma3n no paged attn

* Fix saturating sub

* Faster rmsnorm

* Use sdpa for vision model

* Fix ple bug

* Fix name

* Fix multiaudio

* Add matformer config loading

* Add docs

* Add support for matformer in auto device mapper

* Update docs

* Typos

* Tweak

* Tweak

* Fix multidevice

* Fix gemma3n text model auto device map

* Fix dims3

* Fix auto devic emap vision

* Non-metal keeps PLE on cpu

* Complete merge

* Vision dtype f16 -> f32

* Fix metal nm device

* Fix uqff

* Typos

* Reference uqff

* Fix tests

* Fix sequence length check (EricLBuehler#1546)

* update candle version (EricLBuehler#1545)

Co-authored-by: AlpineVibrations <[email protected]>

* add ios target to metal deps (EricLBuehler#1548)

---------

Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: Eric Buehler <[email protected]>
Co-authored-by: Eric Buehler <[email protected]>
Co-authored-by: edwko <[email protected]>
Co-authored-by: Copilot <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Guoqing Bao <[email protected]>
Co-authored-by: Michał Moskal <[email protected]>
Co-authored-by: Chen Mulong <[email protected]>
Co-authored-by: Steph Wolski <[email protected]>
Co-authored-by: omahs <[email protected]>
Co-authored-by: Viktor Szépe <[email protected]>
Co-authored-by: Matthew Haynes <[email protected]>
Co-authored-by: RageLtMan <[email protected]>
Co-authored-by: Brennan Kinney <[email protected]>
Co-authored-by: Eric Buehler <[email protected]>
Co-authored-by: Sbargaoui <[email protected]>
Co-authored-by: Gaétan Lepage <[email protected]>
Co-authored-by: Ammar Elsabe <[email protected]>
Co-authored-by: luke <[email protected]>
Co-authored-by: AlpineVibrations <[email protected]>
Co-authored-by: Michael Tissen <[email protected]>
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2 participants