File size: 1,072 Bytes
64bd317 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 |
---
base_model: tokyotech-llm/Swallow-MX-8x7b-NVE-v0.1
datasets:
- databricks/databricks-dolly-15k
- glaiveai/glaive-code-assistant-v3
- glaiveai/glaive-function-calling-v2
- gretelai/synthetic_text_to_sql
- meta-math/MetaMathQA
- microsoft/orca-math-word-problems-200k
- neural-bridge/rag-dataset-12000
- neural-bridge/rag-hallucination-dataset-1000
- nvidia/HelpSteer
- OpenAssistant/oasst2
language:
- en
- ja
library_name: transformers
license: apache-2.0
tags:
- mixtral
- steerlm
- mlx
---
# shi3z/mlx-karakuri-lm-8x7b-instruct-v0.1
The Model [shi3z/mlx-karakuri-lm-8x7b-instruct-v0.1](https://huggingface.co/shi3z/mlx-karakuri-lm-8x7b-instruct-v0.1) was converted to MLX format from [karakuri-ai/karakuri-lm-8x7b-instruct-v0.1](https://huggingface.co/karakuri-ai/karakuri-lm-8x7b-instruct-v0.1) using mlx-lm version **0.17.0**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("shi3z/mlx-karakuri-lm-8x7b-instruct-v0.1")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```
|