This is a preliminary version (and subject to change) of the FP8 quantized google/gemma-4-31B-it model. The model has both weights and activations quantized to FP8 with vllm-project/llm-compressor.
This model requires a nightly vllm wheel, see install instructions at https://docs.vllm.ai/projects/recipes/en/latest/Google/Gemma4.html#installing-vllm
On a single B200:
lm_eval --model local-chat-completions --tasks gsm8k_platinum_cot_llama --model_args "model=RedHatAI/gemma-4-31B-it-FP8-Dynamic,max_length=96000,base_url=http://0.0.0.0:8000/v1/chat/completions,num_concurrent=128,max_retries=3,tokenized_requests=False,tokenizer_backend=None,timeout=2400" --num_fewshot 5 --apply_chat_template --fewshot_as_multiturn --output_path results_gsm8k_platinum.json --seed 1234 --gen_kwargs "do_sample=True,temperature=1.0,top_p=0.95,top_k=64,max_gen_toks=64000,seed=1234"
Original:
| Tasks |Version| Filter |n-shot| Metric | |Value| |Stderr|
|------------------------|------:|----------------|-----:|-----------|---|----:|---|-----:|
|gsm8k_platinum_cot_llama| 3|flexible-extract| 5|exact_match|↑ |0.976|± |0.0044|
| | |strict-match | 5|exact_match|↑ |0.976|± |0.0044|
FP8:
| Tasks |Version| Filter |n-shot| Metric | |Value | |Stderr|
|------------------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
|gsm8k_platinum_cot_llama| 3|flexible-extract| 5|exact_match|↑ |0.9768|± |0.0043|
| | |strict-match | 5|exact_match|↑ |0.9777|± |0.0043|
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google/gemma-4-31B-it