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README.md ADDED
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+ ---
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+ license: bigcode-openrail-m
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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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+ - bigcode/the-stack-v2-train
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+ pipeline_tag: text-generation
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+ inference: true
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+ widget:
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+ - text: 'def print_hello_world():'
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+ example_title: Hello world
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+ group: Python
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+ model-index:
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+ - name: starcoder2-7b
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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: CruxEval-I
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+ type: cruxeval-i
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+ metrics:
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+ - type: pass@1
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+ value: 34.6
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: DS-1000
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+ type: ds-1000
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+ metrics:
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+ - type: pass@1
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+ value: 27.8
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: GSM8K (PAL)
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+ type: gsm8k-pal
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+ metrics:
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+ - type: accuracy
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+ value: 40.4
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: HumanEval+
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+ type: humanevalplus
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+ metrics:
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+ - type: pass@1
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+ value: 29.9
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: HumanEval
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+ type: humaneval
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+ metrics:
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+ - type: pass@1
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+ value: 35.4
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: RepoBench-v1.1
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+ type: repobench-v1.1
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+ metrics:
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+ - type: edit-smiliarity
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+ value: 72.07
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+ ---
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+
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+ # mlx-community/starcoder2-7b-4bit
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+ This model was converted to MLX format from [`bigcode/starcoder2-7b`]().
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+ Refer to the [original model card](https://huggingface.co/bigcode/starcoder2-7b) for more details on the model.
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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/starcoder2-7b-4bit")
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+ response = generate(model, tokenizer, prompt="hello", verbose=True)
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+ ```
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+ "bits": 4
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+ }
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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vocab.json ADDED
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