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metadata
base_model: ibm-granite/granite-3.0-8b-instruct
license: apache-2.0
pipeline_tag: text-generation
tags:
  - language
  - granite-3.0
quantized_by: bartowski
inference: false
model-index:
  - name: granite-3.0-2b-instruct
    results:
      - task:
          type: text-generation
        dataset:
          name: IFEval
          type: instruction-following
        metrics:
          - type: pass@1
            value: 52.27
            name: pass@1
          - type: pass@1
            value: 8.22
            name: pass@1
      - task:
          type: text-generation
        dataset:
          name: AGI-Eval
          type: human-exams
        metrics:
          - type: pass@1
            value: 40.52
            name: pass@1
          - type: pass@1
            value: 65.82
            name: pass@1
          - type: pass@1
            value: 34.45
            name: pass@1
      - task:
          type: text-generation
        dataset:
          name: OBQA
          type: commonsense
        metrics:
          - type: pass@1
            value: 46.6
            name: pass@1
          - type: pass@1
            value: 71.21
            name: pass@1
          - type: pass@1
            value: 82.61
            name: pass@1
          - type: pass@1
            value: 77.51
            name: pass@1
          - type: pass@1
            value: 60.32
            name: pass@1
      - task:
          type: text-generation
        dataset:
          name: BoolQ
          type: reading-comprehension
        metrics:
          - type: pass@1
            value: 88.65
            name: pass@1
          - type: pass@1
            value: 21.58
            name: pass@1
      - task:
          type: text-generation
        dataset:
          name: ARC-C
          type: reasoning
        metrics:
          - type: pass@1
            value: 64.16
            name: pass@1
          - type: pass@1
            value: 33.81
            name: pass@1
          - type: pass@1
            value: 51.55
            name: pass@1
      - task:
          type: text-generation
        dataset:
          name: HumanEvalSynthesis
          type: code
        metrics:
          - type: pass@1
            value: 64.63
            name: pass@1
          - type: pass@1
            value: 57.16
            name: pass@1
          - type: pass@1
            value: 65.85
            name: pass@1
          - type: pass@1
            value: 49.6
            name: pass@1
      - task:
          type: text-generation
        dataset:
          name: GSM8K
          type: math
        metrics:
          - type: pass@1
            value: 68.99
            name: pass@1
          - type: pass@1
            value: 30.94
            name: pass@1
      - task:
          type: text-generation
        dataset:
          name: PAWS-X (7 langs)
          type: multilingual
        metrics:
          - type: pass@1
            value: 64.94
            name: pass@1
          - type: pass@1
            value: 48.2
            name: pass@1

๐Ÿ’ซ Community Model> granite 3.0 8b instruct by Ibm-Granite

๐Ÿ‘พ LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord.

Model creator: ibm-granite
Original model: granite-3.0-8b-instruct
GGUF quantization: provided by bartowski based on llama.cpp release b3930

Technical Details

Tuned on permissive open source datasets and internal synthetic datasets.

This model is designed to respond to general instructions and can be used to build AI assistants for multiple domains.

Supported Languages: English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese.

Context length of 4096 tokens.

Special thanks

๐Ÿ™ Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.

Disclaimers

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