---
base_model: byroneverson/Yi-1.5-34B-Chat-abliterated
license: apache-2.0
pipeline_tag: text-generation
language:
- zh
- en
tags:
- llm
- long context
- yi
- chat
- it
- abliterated
- mlx
- mlx-my-repo
library_name: transformers
---

# Fmuaddib/Yi-1.5-34B-Chat-abliterated-mlx-4Bit

The Model [Fmuaddib/Yi-1.5-34B-Chat-abliterated-mlx-4Bit](https://huggingface.co/Fmuaddib/Yi-1.5-34B-Chat-abliterated-mlx-4Bit) was converted to MLX format from [byroneverson/Yi-1.5-34B-Chat-abliterated](https://huggingface.co/byroneverson/Yi-1.5-34B-Chat-abliterated) using mlx-lm version **0.22.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("Fmuaddib/Yi-1.5-34B-Chat-abliterated-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)
```