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WaveCut/
deepseek-ai_DeepSeek-R1-Distill-Llama-70B_MLX-4bit

Name: deepseek-ai_DeepSeek-R1-Distill-Llama-70B_MLX-4bit
Availability: InStock

mlx

safetensors

llama

deepseek-ai/DeepSeek-R1-Distill-Llama-70B

quantized

4-bit

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WaveCut/deepseek-ai_DeepSeek-R1-Distill-Llama-70B_MLX-4bit

The Model WaveCut/deepseek-ai_DeepSeek-R1-Distill-Llama-70B_MLX-4bit was converted to MLX format from deepseek-ai/DeepSeek-R1-Distill-Llama-70B using mlx-lm version 0.21.1.

Use with mlx

pip install mlx-lm

python

from mlx_lm import load, generate

model, tokenizer = load("WaveCut/deepseek-ai_DeepSeek-R1-Distill-Llama-70B_MLX-4bit")

prompt = "hello"

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

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