---
license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
tags:
- qwen3
- qwen
- fine-tuned
base_model: Qwen/Qwen3-4B-Base
---

# Qwen3-4B No-Think Path3 Checkpoint-2500

Deliverable merged BF16 checkpoint for the Qwen3-4B no-think Path3 training run at checkpoint 2500.

## Files

- `model.safetensors` — merged BF16 weights
- `config.json` / `generation_config.json`
- `tokenizer.json` / `tokenizer_config.json`
- `chat_template.jinja`

## Load

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "modrill/Qwen3-4B-nothink-path3-ckpt2500"
tok = AutoTokenizer.from_pretrained(repo, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(repo, torch_dtype="bfloat16", device_map="auto", trust_remote_code=True)
```

## Notes

- Precision: BF16
- Checkpoint: 2500
- Training path: no-think Path3