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jmfirth/reka-flash-3-mlx-4Bit
reka-flash-3-mlx-4Bit is a machine learning model from jmfirth. 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 apache-2.0.
The Model jmfirth/reka-flash-3-mlx-4Bit was converted to MLX format from RekaAI/reka-flash-3 using mlx-lm version 0.21.5.
Downloads · 30 days
13
13% of all-time downloads
All-time downloads
100
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Parameters
20.9B
11.8 GB on disk
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.safetensors11.8 GB · 100%
How the weights are stored.
U3220.9B · 100%
From the Hugging Face model README
The Model jmfirth/reka-flash-3-mlx-4Bit was converted to MLX format from RekaAI/reka-flash-3 using mlx-lm version 0.21.5.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("jmfirth/reka-flash-3-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)