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The Model 0xBreath/Meta-Llama-3-8B-Instruct-abliterated-v3-q4-mlx was converted to MLX format from failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 using mlx-lm version 0.19.0.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("0xBreath/Meta-Llama-3-8B-Instruct-abliterated-v3-q4-mlx")
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)