[SpecDecoding] Update MLPSpeculator CI tests to use smaller model (vllm-project#6714)

Signed-off-by: Alvant <[email protected]>

Author: njhill

tests/spec_decode/e2e/test_mlp_correctness.py

@@ -24,14 +24,14 @@
 from .conftest import run_greedy_equality_correctness_test
 
 # main model
-MAIN_MODEL = "ibm-granite/granite-3b-code-instruct"
+MAIN_MODEL = "JackFram/llama-160m"
 
 # speculative model
-SPEC_MODEL = "ibm-granite/granite-3b-code-instruct-accelerator"
+SPEC_MODEL = "ibm-fms/llama-160m-accelerator"
 
 # max. number of speculative tokens: this corresponds to
 # n_predict in the config.json of the speculator model.
-MAX_SPEC_TOKENS = 5
+MAX_SPEC_TOKENS = 3
 
 # precision
 PRECISION = "float32"