| 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) | |
| ``` | |