Guilherme34/uncensor
Preview • Updated • 134 • 79
How to use Fmuaddib/DeepSeek-R1-Distill-Qwen-32B-Uncensored-mlx-8Bit with PEFT:
Task type is invalid.
How to use Fmuaddib/DeepSeek-R1-Distill-Qwen-32B-Uncensored-mlx-8Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir DeepSeek-R1-Distill-Qwen-32B-Uncensored-mlx-8Bit Fmuaddib/DeepSeek-R1-Distill-Qwen-32B-Uncensored-mlx-8Bit
The Model Fmuaddib/DeepSeek-R1-Distill-Qwen-32B-Uncensored-mlx-8Bit was converted to MLX format from nicoboss/DeepSeek-R1-Distill-Qwen-32B-Uncensored using mlx-lm version 0.21.5.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Fmuaddib/DeepSeek-R1-Distill-Qwen-32B-Uncensored-mlx-8Bit")
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)
8-bit
Base model
deepseek-ai/DeepSeek-R1-Distill-Qwen-32B