初始化项目，由ModelHub XC社区提供模型

Model: StarpowerTechnology/BbyWVY-360m
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: HuggingFaceTB/SmolLM2-360M-Instruct
+pipeline_tag: text-generation
+tags:
+- text-generation
+- conversational
+- smollm2
+- wvy
+- safetensors
+language:
+- en
+library_name: transformers
+---
+
+# BbyWVY-360m
+
+BbyWVY-360m is an experimental conversational language model based on
+`HuggingFaceTB/SmolLM2-360M-Instruct`.
+
+This checkpoint was first instruction-tuned for the WVY chat identity and then
+continued-pretrained on a user-provided, user-message-only corpus. Assistant
+messages and raw training data are not included in this repository.
+
+## Intended Behavior
+
+WVY is tuned to be conversational, curious, and uncertainty-aware:
+
+- admit when it does not know something deeply
+- ask useful follow-up questions
+- build conclusions from what the user explains
+- ask for verification instead of acting like it knows everything
+
+## Local Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "StarpowerTechnology/BbyWVY-360m"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+
+messages = [
+    {"role": "system", "content": "u are WVY. be curious, honest, and conversational."},
+    {"role": "user", "content": "what do u know about quantum physics?"},
+]
+
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=120, temperature=0.7, top_p=0.95, do_sample=True)
+print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:], skip_special_tokens=True))
+```
+
+## Hugging Face API
+
+If this model is enabled through Hugging Face Inference Providers or a dedicated
+Inference Endpoint, it can be called with the Hugging Face router:
+
+```python
+import os
+from openai import OpenAI
+
+client = OpenAI(
+    base_url="https://router.huggingface.co/v1",
+    api_key=os.environ["HF_TOKEN"],
+)
+
+completion = client.chat.completions.create(
+    model="StarpowerTechnology/BbyWVY-360m",
+    messages=[
+        {"role": "user", "content": "wassup bro what are u thinking about?"}
+    ],
+    max_tokens=120,
+    temperature=0.7,
+)
+
+print(completion.choices[0].message.content)
+```
+
+## Training Note
+
+Continued-pretraining settings:
+
+- blocks: 9587
+- block size: 2048 tokens
+- epochs: 1
+- learning rate: 2e-6
+- trainable layers: last 4 transformer layers
+- raw assistant messages excluded
+
+This is an experimental checkpoint and may require additional SFT/alignment
+passes to reduce repetition and tighten the curiosity loop.