AI-MO/NuminaMath-CoT
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How to use KnucklesXBT/Carnice-MoE-35B-A3B-mlx-8Bit with HERMES:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
How to use KnucklesXBT/Carnice-MoE-35B-A3B-mlx-8Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Carnice-MoE-35B-A3B-mlx-8Bit KnucklesXBT/Carnice-MoE-35B-A3B-mlx-8Bit
The Model KnucklesXBT/Carnice-MoE-35B-A3B-mlx-8Bit was converted to MLX format from samuelcardillo/Carnice-MoE-35B-A3B using mlx-lm version 0.31.2.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("KnucklesXBT/Carnice-MoE-35B-A3B-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/Qwen3.5-35B-A3B-Base