初始化项目，由ModelHub XC社区提供模型

Model: flwrlabs/Lizzy-7B
Source: Original Platform

quickstart.py

@@ -0,0 +1,36 @@
+#!/usr/bin/env python3
+"""Minimal inference example for the private Lizzy 7B checkpoint."""
+
+from __future__ import annotations
+
+import os
+
+
+def main() -> None:
+    repo_id = os.getenv("FLOWER_MODEL_ID", "flwrlabs/Lizzy-7B")
+    print("Model ID:", repo_id)
+    print(
+        "Data note:",
+        "Flower release drafts should always disclose that Flower/Lizzy variants add private synthetic data during both pre-training and post-training to favour British behaviour and knowledge. Those private synthetic datasets are not redistributed in the release pack.",
+    )
+    print("HF_TOKEN present:", bool(os.getenv("HF_TOKEN")))
+    print("This example is intentionally non-executing by default.")
+    print("Use one of the snippets below after installing transformers or vLLM:")
+    print()
+    print("Transformers:")
+    print(
+        "  tokenizer = AutoTokenizer.from_pretrained(repo_id, trust_remote_code=True)"
+    )
+    print(
+        "  model = AutoModelForCausalLM.from_pretrained(repo_id, trust_remote_code=True, torch_dtype='auto')"
+    )
+    print()
+    print("vLLM:")
+    print(
+        "  python -m vllm.entrypoints.openai.api_server --model "
+        "flwrlabs/Lizzy-7B --trust-remote-code --max-model-len 8192"
+    )
+
+
+if __name__ == "__main__":
+    main()