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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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+ datasets:
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+ - codeparrot/github-code-clean
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+ - bigcode/starcoderdata
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+ - open-web-math/open-web-math
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+ - math-ai/StackMathQA
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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-base
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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: MBPP
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+ type: mbpp
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+ metrics:
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+ - type: pass@1
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+ value: 42.2
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+ name: pass@1
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: MBPP+
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+ type: evalplus/mbppplus
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+ metrics:
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+ - type: pass@1
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+ value: 49.6
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+ name: pass@1
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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: 43.9
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+ name: pass@1
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+ - type: pass@1
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+ value: 52.4
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+ name: pass@1
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+ - type: pass@1
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+ value: 56.1
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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: 43.9
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+ name: pass@1
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+ - type: pass@1
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+ value: 32.9
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+ name: pass@1
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+ - type: pass@1
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+ value: 23.5
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+ name: pass@1
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+ - type: pass@1
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+ value: 32.3
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+ name: pass@1
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+ - type: pass@1
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+ value: 25.0
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+ name: pass@1
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+ - type: pass@1
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+ value: 23.2
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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: 19.5
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+ name: pass@1
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+ - type: pass@1
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+ value: 22.6
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+ name: pass@1
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+ - type: pass@1
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+ value: 35.4
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+ name: pass@1
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+ - type: pass@1
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+ value: 38.4
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+ name: pass@1
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+ - type: pass@1
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+ value: 37.2
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+ name: pass@1
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+ - type: pass@1
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+ value: 28.7
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+ name: pass@1
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+ - type: pass@1
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+ value: 15.2
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+ name: pass@1
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+ ---
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+
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+ # mlx-community/granite-8b-code-base-4bit
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+
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+ The Model [mlx-community/granite-8b-code-base-4bit](https://huggingface.co/mlx-community/granite-8b-code-base-4bit) was converted to MLX format from [ibm-granite/granite-8b-code-base](https://huggingface.co/ibm-granite/granite-8b-code-base) 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-base-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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+ ],
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+ "attention_bias": true,
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+ "attention_dropout": 0.1,
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+ "bos_token_id": 0,
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+ "eos_token_id": 0,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 4096,
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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": 36,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 0,
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+ "pretraining_tp": 1,
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+ "quantization": {
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+ "group_size": 64,
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+ "bits": 4
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+ },
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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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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