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google/gemma-4-31B-it on Mini-SWE-Agent-style security benchmark trajectories.1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3repo_id = "MananSuri27/gemma4-31b-full-mini-swe-secbench"
4tokenizer = AutoTokenizer.from_pretrained(repo_id)
5model = AutoModelForCausalLM.from_pretrained(repo_id, dtype="auto", device_map="auto")vllm serve MananSuri27/gemma4-31b-full-mini-swe-secbench --dtype bfloat16