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metalman3289/L3.1-MOE-6X8B-Dark-Reasoning-Dantes-Peak-Hermes-R1-Uncensored-36B-mlx-8Bit-mlx-4Bit

sourceHugging Faceapache-2.0updated 4mo agoView on Hugging Face
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Model Card

metalman3289/L3.1-MOE-6X8B-Dark-Reasoning-Dantes-Peak-Hermes-R1-Uncensored-36B-mlx-8Bit-mlx-4Bit

The Model metalman3289/L3.1-MOE-6X8B-Dark-Reasoning-Dantes-Peak-Hermes-R1-Uncensored-36B-mlx-8Bit-mlx-4Bit was converted to MLX format from derek-wh/L3.1-MOE-6X8B-Dark-Reasoning-Dantes-Peak-Hermes-R1-Uncensored-36B-mlx-8Bit using mlx-lm version 0.31.2.

Use with mlx

bash
pip install mlx-lm
python
from mlx_lm import load, generate

model, tokenizer = load("metalman3289/L3.1-MOE-6X8B-Dark-Reasoning-Dantes-Peak-Hermes-R1-Uncensored-36B-mlx-8Bit-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)