Kwai-Klear/KlearReasoner-MathSub-30K
Viewer • Updated • 30k • 157 • 3
How to use hobaratio/Klear-Reasoner-8B-mlx-8Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Klear-Reasoner-8B-mlx-8Bit hobaratio/Klear-Reasoner-8B-mlx-8Bit
The Model hobaratio/Klear-Reasoner-8B-mlx-8Bit was converted to MLX format from Suu/Klear-Reasoner-8B using mlx-lm version 0.26.3.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("hobaratio/Klear-Reasoner-8B-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
Qwen/Qwen3-8B-Base