---
license: apache-2.0
language:
- en
base_model: prithivMLmods/Blitzar-Coder-4B-F.1
pipeline_tag: text-generation
library_name: transformers
tags:
- code
- RL
- text-generation-inference
- mot
- moe
- <think>
- mlx
- mlx-my-repo
datasets:
- livecodebench/code_generation_lite
- PrimeIntellect/verifiable-coding-problems
- likaixin/TACO-verified
- open-r1/codeforces-cots
---

# cof139/Blitzar-Coder-4B-F.1-mlx-4Bit

The Model [cof139/Blitzar-Coder-4B-F.1-mlx-4Bit](https://huggingface.co/cof139/Blitzar-Coder-4B-F.1-mlx-4Bit) was converted to MLX format from [prithivMLmods/Blitzar-Coder-4B-F.1](https://huggingface.co/prithivMLmods/Blitzar-Coder-4B-F.1) using mlx-lm version **0.25.2**.


## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("cof139/Blitzar-Coder-4B-F.1-mlx-4Bit")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```