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Nous-Hermes-2-Mixtral-8x7B-DPO-4bit
mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit
Nous-Hermes-2-Mixtral-8x7B-DPO-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 apache-2.0.
This model was converted to MLX format from NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO. Refer to the original model card for more details on the model.
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Repo size
26.6 GB
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At a glance
- Library
- mlx
- License
- apache-2.0
- Model type
- mixtral
- Access
- Public
- Created
- Jan 17, 2024
- Updated
- Jan 17, 2024
- SHA
- f1d96ffb
Base models
Model card
From the Hugging Face model README
mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit
This model was converted to MLX format from NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO.
Refer to the original model card for more details on the model.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
Use with mlx_lm cli
pip install -U mlx-lm
python3 -m mlx_lm.generate --model mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit --prompt "<|im_start|>system\nYou are an accurate, educational, and helpful information assistant<|im_end|>\n<|im_start|>user\nWhat is the difference between awq vs gptq quantitization?<|im_end|>\n<|im_start|>assistant\n" --max-tokens 2048
- Library
- mlx
- Type
- mixtral
- License
- apache-2.0
- Languages
- en
- Created
- Jan 17, 2024
- Updated
- Jan 17, 2024