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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-3b-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-3b-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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+ value: 51.2
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+ name: pass@1
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+ - type: pass@1
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+ value: 43.9
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+ name: pass@1
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+ - type: pass@1
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+ value: 41.5
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+ name: pass@1
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+ - type: pass@1
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+ value: 31.7
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+ name: pass@1
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+ - type: pass@1
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+ value: 40.2
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+ name: pass@1
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+ - type: pass@1
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+ value: 29.3
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+ name: pass@1
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+ - type: pass@1
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+ value: 39.6
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+ name: pass@1
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+ - type: pass@1
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+ value: 26.8
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+ name: pass@1
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+ - type: pass@1
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+ value: 39.0
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+ name: pass@1
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+ - type: pass@1
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+ value: 14.0
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+ name: pass@1
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+ - type: pass@1
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+ value: 23.8
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+ name: pass@1
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+ - type: pass@1
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+ value: 12.8
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+ - type: pass@1
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+ value: 26.8
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+ name: pass@1
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+ - type: pass@1
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+ value: 28.0
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+ name: pass@1
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+ - type: pass@1
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+ value: 33.5
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+ name: pass@1
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+ - type: pass@1
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+ value: 27.4
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+ name: pass@1
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+ - type: pass@1
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+ value: 31.7
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+ name: pass@1
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+ - type: pass@1
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+ value: 16.5
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+ name: pass@1
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+ ---
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+
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+ # mlx-community/granite-3b-code-instruct-4bit
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+
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+ The Model [mlx-community/granite-3b-code-instruct-4bit](https://huggingface.co/mlx-community/granite-3b-code-instruct-4bit) was converted to MLX format from [ibm-granite/granite-3b-code-instruct](https://huggingface.co/ibm-granite/granite-3b-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-3b-code-instruct-4bit")
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+ response = generate(model, tokenizer, prompt="hello", verbose=True)
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+ ```
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+ {
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ "attention_bias": true,
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+ "hidden_act": "silu",
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+ "intermediate_size": 10240,
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+ "max_position_embeddings": 2048,
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+ "mlp_bias": true,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 32,
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+ "pad_token_id": 0,
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+ "pretraining_tp": 1,
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+ "quantization": {
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+ "rope_theta": 10000,
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+ "tie_word_embeddings": true,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.41.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 49152
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+ }
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