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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:

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
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