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@@ -43,7 +43,7 @@
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- `models.default`:默认模型名
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- `models.selected`:当前生效模型名
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- `models.profiles`:模型配置集合
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- 每个模型必须包含:`local_path`,并建议补充 `ctx`、`max_num_seqs`、`max_tokens`
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- 每个模型必须包含:`local_path`,并建议补充 `ctx`、`max_num_seqs`、`max_tokens`、`dtype`、`quantization`
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启动时会按以下优先级选模型:
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@@ -100,6 +100,8 @@ def resolve_model_profile(
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"selected_model": model_key,
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"model_name": _resolve_profile_model_path(profile, model_root, model_key),
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"served_model_name": profile.get("served_model_name", model_key),
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"dtype": _to_str(profile.get("dtype")),
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"quantization": _to_str(profile.get("quantization")),
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"max_model_len": _to_int(profile.get("ctx"), 8192),
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"max_num_seqs": _to_int(profile.get("max_num_seqs"), 64),
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"max_tokens": _to_int(profile.get("max_tokens"), 4096),
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+4
-1
@@ -19,7 +19,8 @@ def build_command() -> list[str]:
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host = str(runtime["openai_host"])
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port = str(runtime["openai_port"])
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api_key = runtime["api_key"] or ""
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dtype = str(runtime["dtype"])
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dtype = str(updates["dtype"] or runtime["dtype"])
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quantization = str(updates["quantization"] or "").strip()
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revision = runtime["revision"] or ""
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cmd = [
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sys.executable,
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@@ -52,6 +53,8 @@ def build_command() -> list[str]:
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cmd.append("--enable-auto-tool-choice")
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if updates["tool_call_parser"]:
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cmd.extend(["--tool-call-parser", str(updates["tool_call_parser"])])
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if quantization:
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cmd.extend(["--quantization", quantization])
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if revision:
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cmd.extend(["--revision", revision])
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if api_key:
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@@ -64,6 +64,8 @@
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},
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"Qwen3.5-35B-A3B-GPTQ-Int4": {
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"local_path": "Qwen3.5-35B-A3B-GPTQ-Int4",
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"dtype": "float16",
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"quantization": "gptq_marlin",
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"ctx": "65536",
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"trust_remote": true,
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"valid_tp": [1, 2],
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