| 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) | |
| ``` | |