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mlx-community
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granite-8b-code-instruct-4bit

Text Generation
Transformers
Safetensors
MLX
llama
code
conversational
Eval Results
text-generation-inference
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Files changed (9) hide show
  1. README.md +101 -0
  2. config.json +33 -0
  3. merges.txt +0 -0
  4. model.safetensors +3 -0
  5. model.safetensors.index.json +1091 -0
  6. special_tokens_map.json +51 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +188 -0
  9. vocab.json +0 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ library_name: transformers
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+ tags:
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+ - code
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+ - mlx
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+ base_model: ibm-granite/granite-8b-code-base
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+ datasets:
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+ - bigcode/commitpackft
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+ - TIGER-Lab/MathInstruct
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+ - meta-math/MetaMathQA
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+ - glaiveai/glaive-code-assistant-v3
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+ - glaive-function-calling-v2
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+ - bugdaryan/sql-create-context-instruction
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+ - garage-bAInd/Open-Platypus
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+ - nvidia/HelpSteer
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+ metrics:
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+ - code_eval
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+ pipeline_tag: text-generation
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+ inference: false
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+ model-index:
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+ - name: granite-8b-code-instruct
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+ results:
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: HumanEvalSynthesis(Python)
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+ type: bigcode/humanevalpack
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+ metrics:
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+ - type: pass@1
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+ name: pass@1
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+ ---
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+
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+ # mlx-community/granite-8b-code-instruct-4bit
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+
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+ The Model [mlx-community/granite-8b-code-instruct-4bit](https://huggingface.co/mlx-community/granite-8b-code-instruct-4bit) was converted to MLX format from [ibm-granite/granite-8b-code-instruct](https://huggingface.co/ibm-granite/granite-8b-code-instruct) using mlx-lm version **0.12.0**.
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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("mlx-community/granite-8b-code-instruct-4bit")
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+ response = generate(model, tokenizer, prompt="hello", verbose=True)
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+ ```
config.json ADDED
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+ "architectures": [
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+ "quantization": {
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+ }
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188
+ }
vocab.json ADDED
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