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r1-1776-distill-llama-70b-4bit
mlx-community/r1-1776-distill-llama-70b-4bit
r1-1776-distill-llama-70b-4bit is a machine learning model from mlx-community. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as mit.
The Model mlx-community/r1-1776-distill-llama-70b-4bit was converted to MLX format from perplexity-ai/r1-1776-distill-llama-70b using mlx-lm version 0.21.4.
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986
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70.6B
39.7 GB on disk
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3
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.safetensors39.7 GB · 100%
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How the weights are stored.
U3270.6B · 100%
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Model card
From the Hugging Face model README
mlx-community/r1-1776-distill-llama-70b-4bit
The Model mlx-community/r1-1776-distill-llama-70b-4bit was converted to MLX format from perplexity-ai/r1-1776-distill-llama-70b using mlx-lm version 0.21.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/r1-1776-distill-llama-70b-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)
- Library
- mlx
- Type
- llama
- License
- mit
- Created
- Feb 21, 2025
- Updated
- Feb 21, 2025