metadata
license: mit
base_model: Ex0bit/GLM-4.7-PRISM
model_name: Elbaz-GLM-4.7-PRISM
tags:
- abliteration
- SOTA Abliteration Pipeline - PRISM
- glm
- glm4_moe
- quantized
- finetuned
- uncensored
- abliterated
- mlx
- mlx-my-repo
language:
- en
- zh
library_name: transformers
pipeline_tag: text-generation
cs2764/GLM-4.7-PRISM-mlx-4Bit
The Model cs2764/GLM-4.7-PRISM-mlx-4Bit was converted to MLX format from Ex0bit/GLM-4.7-PRISM using mlx-lm version 0.30.4.
Quantization Details
This model was converted with the following quantization settings:
- Quantization Strategy: 4-bit quantization
- Average bits per weight: 4.502
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("cs2764/GLM-4.7-PRISM-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)