README.md

metadata

license: other
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - ChaoticNeutrals/Prodigy_7B
  - Test157t/Prima-LelantaclesV6-7b
model-index:
  - name: Eris_7B
    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: 71.42
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Eris_7B
          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: 87.99
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Eris_7B
          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: 65.24
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Eris_7B
          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: 66.95
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Eris_7B
          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: 84.21
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Eris_7B
          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: 66.26
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Eris_7B
          name: Open LLM Leaderboard

Jeitral: "Eris, the Greek goddess of chaos and discord."

Notes: Model should be excellent for both RP/Chat related tasks. Seems to be working in both Alpaca/Chatml.

Collaborative effort from both @Jeiku and @Nitral involving what we currently felt were our best individual projects.

We hope you enjoy! - The Chaotic Neutrals.

Imatrix GGUF Quants Thanks to @Lewdiculus: https://huggingface.co./Lewdiculous/Eris_7B-GGUF-IQ-Imatrix

The following models were included in the merge:

• ChaoticNeutrals/Prodigy_7B
• Test157t/Prima-LelantaclesV6-7b

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: Test157t/Prima-LelantaclesV6-7b
        layer_range: [0, 32]
      - model: ChaoticNeutrals/Prodigy_7B
        layer_range: [0, 32]
merge_method: slerp
base_model: Test157t/Prima-LelantaclesV6-7b
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	73.68
AI2 Reasoning Challenge (25-Shot)	71.42
HellaSwag (10-Shot)	87.99
MMLU (5-Shot)	65.24
TruthfulQA (0-shot)	66.95
Winogrande (5-shot)	84.21
GSM8k (5-shot)	66.26