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shi3z
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mlx-karakuri-lm-8x7b-instruct-v0.1

Text Generation
Transformers
Safetensors
MLX
English
Japanese
mixtral
steerlm
conversational
text-generation-inference
Inference Endpoints
Model card Files Community
1
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Files changed (14) hide show
  1. README.md +40 -0
  2. added_tokens.json +130 -0
  3. config.json +34 -0
  4. model-00001-of-00006.safetensors +3 -0
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  12. tokenizer.json +0 -0
  13. tokenizer.model +3 -0
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README.md ADDED
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1
+ ---
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+ base_model: tokyotech-llm/Swallow-MX-8x7b-NVE-v0.1
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+ datasets:
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+ - databricks/databricks-dolly-15k
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+ - glaiveai/glaive-code-assistant-v3
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+ - glaiveai/glaive-function-calling-v2
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+ - gretelai/synthetic_text_to_sql
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+ - meta-math/MetaMathQA
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+ - microsoft/orca-math-word-problems-200k
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+ - neural-bridge/rag-dataset-12000
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+ - neural-bridge/rag-hallucination-dataset-1000
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+ - nvidia/HelpSteer
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+ - OpenAssistant/oasst2
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+ language:
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+ - en
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+ - ja
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+ library_name: transformers
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+ license: apache-2.0
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+ tags:
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+ - mixtral
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+ - steerlm
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+ - mlx
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+ ---
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+
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+ # shi3z/mlx-karakuri-lm-8x7b-instruct-v0.1
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+
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+ 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**.
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+
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install mlx-lm
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+ ```
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tokenizer = load("shi3z/mlx-karakuri-lm-8x7b-instruct-v0.1")
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+ response = generate(model, tokenizer, prompt="hello", verbose=True)
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+ ```
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