Downloads · 30 days
31
8% of all-time downloads
mrtoots/TheDrummer-Behemoth-R1-123B-v2-MLX-4Bit
TheDrummer-Behemoth-R1-123B-v2-MLX-4Bit is a machine learning model from mrtoots. 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 Model huggingtoots/TheDrummer-Behemoth-R1-123B-v2-MLX-4Bit was converted to MLX format from TheDrummer/Behemoth-R1-123B-v2 using mlx-lm version 0.26.4.
Downloads · 30 days
31
8% of all-time downloads
All-time downloads
381
Public
Parameters
123B
69 GB on disk
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0
Public
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.safetensors69 GB · 100%
How the weights are stored.
U32123B · 100%
From the Hugging Face model README
The Model huggingtoots/TheDrummer-Behemoth-R1-123B-v2-MLX-4Bit was converted to MLX format from TheDrummer/Behemoth-R1-123B-v2 using mlx-lm version 0.26.4.
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pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("huggingtoots/Behemoth-R1-123B-v2-mlx-4Bit")
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)