Text Generation
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metadata
license: apache-2.0
library_name: transformers
tags:
  - code
  - mlx
base_model: ibm-granite/granite-3b-code-base
datasets:
  - bigcode/commitpackft
  - TIGER-Lab/MathInstruct
  - meta-math/MetaMathQA
  - glaiveai/glaive-code-assistant-v3
  - glaive-function-calling-v2
  - bugdaryan/sql-create-context-instruction
  - garage-bAInd/Open-Platypus
  - nvidia/HelpSteer
metrics:
  - code_eval
pipeline_tag: text-generation
inference: false
model-index:
  - name: granite-3b-code-instruct
    results:
      - task:
          type: text-generation
        dataset:
          name: HumanEvalSynthesis(Python)
          type: bigcode/humanevalpack
        metrics:
          - type: pass@1
            value: 51.2
            name: pass@1
          - type: pass@1
            value: 43.9
            name: pass@1
          - type: pass@1
            value: 41.5
            name: pass@1
          - type: pass@1
            value: 31.7
            name: pass@1
          - type: pass@1
            value: 40.2
            name: pass@1
          - type: pass@1
            value: 29.3
            name: pass@1
          - type: pass@1
            value: 39.6
            name: pass@1
          - type: pass@1
            value: 26.8
            name: pass@1
          - type: pass@1
            value: 39
            name: pass@1
          - type: pass@1
            value: 14
            name: pass@1
          - type: pass@1
            value: 23.8
            name: pass@1
          - type: pass@1
            value: 12.8
            name: pass@1
          - type: pass@1
            value: 26.8
            name: pass@1
          - type: pass@1
            value: 28
            name: pass@1
          - type: pass@1
            value: 33.5
            name: pass@1
          - type: pass@1
            value: 27.4
            name: pass@1
          - type: pass@1
            value: 31.7
            name: pass@1
          - type: pass@1
            value: 16.5
            name: pass@1

mlx-community/granite-3b-code-instruct-4bit

The Model mlx-community/granite-3b-code-instruct-4bit was converted to MLX format from ibm-granite/granite-3b-code-instruct using mlx-lm version 0.12.0.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/granite-3b-code-instruct-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)