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

The Model cof139/Blitzar-Coder-4B-F.1-mlx-4Bit was converted to MLX format from prithivMLmods/Blitzar-Coder-4B-F.1 using mlx-lm version 0.25.2.

Use with mlx

pip install mlx-lm
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)
Downloads last month
65
Safetensors
Model size
629M params
Tensor type
F16
·
U32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for cof139/Blitzar-Coder-4B-F.1-mlx-4Bit

Base model

Qwen/Qwen3-4B-Base
Finetuned
Qwen/Qwen3-4B
Quantized
(10)
this model

Datasets used to train cof139/Blitzar-Coder-4B-F.1-mlx-4Bit