README.md

---
license: apache-2.0
base_model: Qwen3.5-9B
pipeline_tag: text-generation
tags:
  - text-generation
---

# 111

A chat model fine-tuned from **Qwen3.5-9B**. It takes a structured prompt and
returns a strict JSON response.

## Serving

OpenAI-compatible chat model (served with an inference engine such as SGLang / vLLM):

```python
from openai import OpenAI

client = OpenAI(base_url="http://127.0.0.1:8000/v1", api_key="EMPTY")
resp = client.chat.completions.create(
    model="111",
    messages=[
        {"role": "system", "content": system_prompt},
        {"role": "user", "content": user_prompt},
    ],
    temperature=0.0,
    max_tokens=8192,
)
print(resp.choices[0].message.content)
```

## Output format

Strict JSON, e.g.:

```json
{"thought_process": "...", "valid_steps": [1, 2, 5, 8]}
```

## Details

- Base: `Qwen3.5-9B` (`Qwen3_5ForConditionalGeneration`, 32 layers, hidden size 4096).
- Precision: bfloat16.
- Format: safetensors (4 shards) + HF `config.json` / tokenizer.

## License

Inherits the base-model license. Set the correct license before publishing.