Downloads · 30 days
12
11% of all-time downloads
fengpeisheng1/R1-8B-ArliAI-RpR-v2-mlx-3Bit
R1-8B-ArliAI-RpR-v2-mlx-3Bit is a machine learning model from fengpeisheng1. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as mit.
The Model fengpeisheng1/R1-8B-ArliAI-RpR-v2-mlx-3Bit was converted to MLX format from ArliAI/R1-8B-ArliAI-RpR-v2 using mlx-lm version 0.22.3.
Downloads · 30 days
12
11% of all-time downloads
All-time downloads
110
Public
Parameters
8B
3.5 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors3.5 GB · 100%
How the weights are stored.
U328B · 100%
From the Hugging Face model README
The Model fengpeisheng1/R1-8B-ArliAI-RpR-v2-mlx-3Bit was converted to MLX format from ArliAI/R1-8B-ArliAI-RpR-v2 using mlx-lm version 0.22.3.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("fengpeisheng1/R1-8B-ArliAI-RpR-v2-mlx-3Bit")
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)