---
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-6Bit

The Model [cs2764/GLM-4.7-PRISM-mlx-6Bit](https://huggingface.co/cs2764/GLM-4.7-PRISM-mlx-6Bit) was converted to MLX format from [Ex0bit/GLM-4.7-PRISM](https://huggingface.co/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**: 6-bit quantization
- **Average bits per weight**: 6.502

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("cs2764/GLM-4.7-PRISM-mlx-6Bit")

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)
```