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mlx-community/EVA-Qwen2.5-72B-v0.0

The Model mlx-community/EVA-Qwen2.5-72B-v0.0 was converted to MLX format from EVA-UNIT-01/EVA-Qwen2.5-72B-v0.0 using mlx-lm version 0.19.0.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/EVA-Qwen2.5-72B-v0.0")

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)
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72.7B params
Tensor type
FP16
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Datasets used to train mlx-community/EVA-Qwen2.5-72B-v0.0