---
language:
- en
- ja
license: apache-2.0
library_name: transformers
tags:
- mixtral
- steerlm
- mlx
base_model: tokyotech-llm/Swallow-MX-8x7b-NVE-v0.1
datasets:
- OpenAssistant/oasst2
- nvidia/HelpSteer
model-index:
- name: karakuri-ai/karakuri-lm-8x7b-chat-v0.1
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MT-Bench
      type: unknown
    metrics:
    - type: unknown
      value: 7.39375
      name: score
    - type: unknown
      value: 7.540625
      name: score
    source:
      url: https://huggingface.co/spaces/lmsys/mt-bench
---

# mlx-community/karakuri-lm-8x7b-chat-v0.1-8bit
This model was converted to MLX format from [`karakuri-ai/karakuri-lm-8x7b-chat-v0.1`]() using mlx-lm version **0.12.1**.
Refer to the [original model card](https://huggingface.co/karakuri-ai/karakuri-lm-8x7b-chat-v0.1) for more details on the model.
## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/karakuri-lm-8x7b-chat-v0.1-8bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```