Downloads · 30 days
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9% of all-time downloads
mlx-community/SorcererLM-8x22b-2bit
SorcererLM-8x22b-2bit is a machine learning model from mlx-community. 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 apache-2.0.
The Model mlx-community/SorcererLM-8x22b-2bit was converted to MLX format from rAIfle/SorcererLM-8x22b-bf16 using mlx-lm version 0.19.0.
Downloads · 30 days
17
9% of all-time downloads
All-time downloads
196
Public
Parameters
141B
43.9 GB on disk
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.safetensors43.9 GB · 100%
How the weights are stored.
U32141B · 100%
From the Hugging Face model README
The Model mlx-community/SorcererLM-8x22b-2bit was converted to MLX format from rAIfle/SorcererLM-8x22b-bf16 using mlx-lm version 0.19.0.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/SorcererLM-8x22b-2bit")
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)