初始化项目，由ModelHub XC社区提供模型

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

mlb/gen_sft_chat.py

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+import os, json, random
+HERE = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+os.environ["HF_HOME"] = os.path.join(HERE, "hf_cache")
+
+from datasets import load_dataset
+
+OUT = os.path.join(HERE, "data", "sft_chat.jsonl")
+N = 500
+random.seed(0)
+
+def main():
+    ds = load_dataset("databricks/databricks-dolly-15k", split="train")
+    idx = list(range(len(ds)))
+    random.shuffle(idx)
+
+    rows = []
+    for i in idx:
+        r = ds[i]
+        instr, ctx, resp = r["instruction"].strip(), r["context"].strip(), r["response"].strip()
+        if not instr or not resp:
+            continue
+        if len(resp) > 1200:            # keep seq length sane
+            continue
+        user = f"{instr}\n\n{ctx}" if ctx else instr
+        rows.append({"messages": [{"role": "user", "content": user},
+                                  {"role": "assistant", "content": resp}]})
+        if len(rows) >= N:
+            break
+
+    with open(OUT, "w") as f:
+        for r in rows:
+            f.write(json.dumps(r) + "\n")
+    print(f"wrote {len(rows)} chat examples -> {OUT}")
+    print("sample user:", rows[0]["messages"][0]["content"][:80])
+
+if __name__ == "__main__":
+    main()