README.md

metadata

language:
  - en
license: apache-2.0
library_name: transformers
datasets:
  - togethercomputer/RedPajama-Data-1T
  - databricks/databricks-dolly-15k
  - OpenAssistant/oasst1
  - Muennighoff/natural-instructions
  - Muennighoff/P3
pipeline_tag: text-generation
model-index:
  - name: RedPajama-INCITE-Chat-Instruct-3B-V1
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: AI2 Reasoning Challenge (25-Shot)
          type: ai2_arc
          config: ARC-Challenge
          split: test
          args:
            num_few_shot: 25
        metrics:
          - type: acc_norm
            value: 42.58
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: HellaSwag (10-Shot)
          type: hellaswag
          split: validation
          args:
            num_few_shot: 10
        metrics:
          - type: acc_norm
            value: 67.48
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MMLU (5-Shot)
          type: cais/mmlu
          config: all
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 25.99
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: TruthfulQA (0-shot)
          type: truthful_qa
          config: multiple_choice
          split: validation
          args:
            num_few_shot: 0
        metrics:
          - type: mc2
            value: 33.62
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: Winogrande (5-shot)
          type: winogrande
          config: winogrande_xl
          split: validation
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 64.8
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GSM8k (5-shot)
          type: gsm8k
          config: main
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 0.91
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1
          name: Open LLM Leaderboard

This is an experimental merge of models RedPajama-INCITE-Chat-3B-V1 and RedPajama-INCITE-Instruct-3B-V1.
This model is adaptive to prompt templates, but this template is recommended:

HUMAN: {prompt}
ASSISTANT:

Feel free to change HUMAN or ASSISTANT. It will not change much.
GGML versions here (Note that this is only compatible with koboldcpp).

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	39.23
ARC (25-shot)	42.58
HellaSwag (10-shot)	67.48
MMLU (5-shot)	25.99
TruthfulQA (0-shot)	33.62
Winogrande (5-shot)	64.8
GSM8K (5-shot)	0.91

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	39.23
AI2 Reasoning Challenge (25-Shot)	42.58
HellaSwag (10-Shot)	67.48
MMLU (5-Shot)	25.99
TruthfulQA (0-shot)	33.62
Winogrande (5-shot)	64.80
GSM8k (5-shot)	0.91