初始化项目，由ModelHub XC社区提供模型

Model: karthik-2905/AL1-model-B
Source: Original Platform

mlb/eval_chat.py

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+import os, json, argparse
+HERE = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+os.environ["HF_HOME"] = os.path.join(HERE, "hf_cache")
+
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--model", default="Qwen/Qwen3-0.6B")
+    ap.add_argument("--adapter", default=None)
+    ap.add_argument("--eval", default=os.path.join(HERE, "eval", "chat_eval.jsonl"))
+    ap.add_argument("--out", default=os.path.join(HERE, "eval", "baseline_chat.json"))
+    a = ap.parse_args()
+
+    device = "cuda" if torch.cuda.is_available() else ("mps" if torch.backends.mps.is_available() else "cpu")
+    tok = AutoTokenizer.from_pretrained(a.model)
+    model = AutoModelForCausalLM.from_pretrained(a.model, dtype=torch.float32).to(device)
+    if a.adapter:
+        from peft import PeftModel
+        model = PeftModel.from_pretrained(model, a.adapter).to(device)
+    model.eval()
+
+    cases = [json.loads(l) for l in open(a.eval) if l.strip()]
+    results = []
+
+    for c in cases:
+        msgs = [{"role": "user", "content": c["query"]}]
+        text = tok.apply_chat_template(msgs, tokenize=False,
+                                       add_generation_prompt=True, enable_thinking=False)
+        ids = tok(text, return_tensors="pt").to(device)
+        out = model.generate(**ids, max_new_tokens=256, do_sample=False)
+        reply = tok.decode(out[0][ids.input_ids.shape[1]:], skip_special_tokens=True)
+        results.append({"id": c["id"], "kind": c["kind"],
+                        "query": c["query"], "reply": reply})
+        print(f"[{c['id']}] {c['kind']}: {reply[:80].strip()}...")
+
+    json.dump({"model": a.model, "adapter": a.adapter, "n": len(cases), "results": results},
+              open(a.out, "w"), indent=2)
+    print(f"\nsaved {len(cases)} chat outputs -> {a.out}")
+
+if __name__ == "__main__":
+    main()