m-a-p/CodeFeedback-Filtered-Instruction
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How to use mlx-community/dolphin-2.9.1-mixtral-1x22b-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir dolphin-2.9.1-mixtral-1x22b-4bit mlx-community/dolphin-2.9.1-mixtral-1x22b-4bit
This model was converted to MLX format from cognitivecomputations/dolphin-2.9.1-mixtral-1x22b using mlx-lm version 0.12.1.
Refer to the original model card for more details on the model.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/dolphin-2.9.1-mixtral-1x22b-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
Quantized
Base model
mistral-community/Mixtral-8x22B-v0.1