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---
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)
```
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