README.md

metadata

license: llama3
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
model-index:
  - name: AbL3In-15B
    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: 61.77
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=TheSkullery/AbL3In-15B
          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: 78.42
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=TheSkullery/AbL3In-15B
          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: 66.57
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=TheSkullery/AbL3In-15B
          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: 52.53
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=TheSkullery/AbL3In-15B
          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: 74.74
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=TheSkullery/AbL3In-15B
          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: 70.74
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=TheSkullery/AbL3In-15B
          name: Open LLM Leaderboard

merge

This is a testing model using the zeroing method used by elinas/Llama-3-15B-Instruct-zeroed.

If this model pans out in the way I hope, Ill heal it then reupload with a custom model card like the others. currently this is just an experiment.

In case anyone asks AbL3In-15b literally means:

Ab = Abliterated
L3 = Llama-3
In = Instruct
15b = its 15b perameters

GGUF's

GGUF by @Mradermacher

Merge Details

Merge Method

This model was merged using the passthrough merge method.

Models Merged

The following models were included in the merge:

• failspy/Meta-Llama-3-8B-Instruct-abliterated-v3

Configuration

The following YAML configuration was used to produce this model:

dtype: bfloat16
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 24]
    model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
- sources:
  - layer_range: [8, 24]
    model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
    parameters:
      scale:
      - filter: o_proj
        value: 0.0
      - filter: down_proj
        value: 0.0
      - value: 1.0
- sources:
  - layer_range: [8, 24]
    model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
    parameters:
      scale:
      - filter: o_proj
        value: 0.0
      - filter: down_proj
        value: 0.0
      - value: 1.0
- sources:
  - layer_range: [24, 32]
    model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	67.46
AI2 Reasoning Challenge (25-Shot)	61.77
HellaSwag (10-Shot)	78.42
MMLU (5-Shot)	66.57
TruthfulQA (0-shot)	52.53
Winogrande (5-shot)	74.74
GSM8k (5-shot)	70.74