metadata
license: mit
language:
- en
- zh
pipeline_tag: text-generation
library_name: transformers
base_model: unsloth/GLM-4.5
tags:
- mlx
huggingtoots/unsloth-GLM-4.5-MLX-3Bit
The Model huggingtoots/unsloth-GLM-4.5-MLX-3Bit was converted to MLX format from unsloth/GLM-4.5 using mlx-lm version 0.26.3.
Toots' Note:
This model was converted and quantized utilizing unsloth's version of GLM-4.5.
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Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("huggingtoots/GLM-4.5-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)