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jesusoctavioas/DeepSeek-R1-Distill-Llama-8B-mlx-4Bit
DeepSeek-R1-Distill-Llama-8B-mlx-4Bit is a text generation model from jesusoctavioas. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
The Model jesusoctavioas/DeepSeek-R1-Distill-Llama-8B-mlx-4Bit was converted to MLX format from deepseek-ai/DeepSeek-R1-Distill-Llama-8B using mlx-lm version 0.29.1.
Downloads · 30 days
48
4% of all-time downloads
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.safetensors4.5 GB · 100%
How the weights are stored.
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From the Hugging Face model README
The Model jesusoctavioas/DeepSeek-R1-Distill-Llama-8B-mlx-4Bit was converted to MLX format from deepseek-ai/DeepSeek-R1-Distill-Llama-8B using mlx-lm version 0.29.1.
# Create a virtual enviroment if needed.
python -m venv mlx-venv
# then activate the virtual enviroment if needed.
source mlx-venv/bin/activate
# then install mlx.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("jesusoctavioas/DeepSeek-R1-Distill-Llama-8B-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)