nvidia/OpenMathInstruct-1
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How to use introvoyz041/OpenMath-Mistral-7B-v0.1-hf-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download introvoyz041/OpenMath-Mistral-7B-v0.1-hf-mlx-4Bit --local-dir OpenMath-Mistral-7B-v0.1-hf-mlx-4Bit
The Model introvoyz041/OpenMath-Mistral-7B-v0.1-hf-mlx-4Bit was converted to MLX format from nvidia/OpenMath-Mistral-7B-v0.1-hf using mlx-lm version 0.28.3.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("introvoyz041/OpenMath-Mistral-7B-v0.1-hf-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)
4-bit
Base model
mistralai/Mistral-7B-v0.1