metadata
base_model: nicoboss/DeepSeek-R1-Distill-Qwen-32B-Uncensored
library_name: peft
tags:
- generated_from_trainer
- mlx
- mlx-my-repo
license: mit
datasets:
- Guilherme34/uncensor
model-index:
- name: DeepSeek-R1-Distill-Qwen-32B-Uncensored
results: []
PantiPenti/DeepSeek-R1-Distill-Qwen-32B-Uncensored-mlx-6Bit
The Model PantiPenti/DeepSeek-R1-Distill-Qwen-32B-Uncensored-mlx-6Bit was converted to MLX format from nicoboss/DeepSeek-R1-Distill-Qwen-32B-Uncensored using mlx-lm version 0.22.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("PantiPenti/DeepSeek-R1-Distill-Qwen-32B-Uncensored-mlx-6Bit")
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)