sequelbox's picture
Upload folder using huggingface_hub (#1)
b857c30 verified
|
raw
history blame
2.14 kB
metadata
language:
  - en
pipeline_tag: text-generation
base_model:
  - meta-llama/Llama-3.1-8B-Instruct
  - ValiantLabs/Llama3.1-8B-ShiningValiant2
  - ValiantLabs/Llama3.1-8B-Cobalt
library_name: transformers
model_type: llama
model-index:
  - name: sequelbox/Llama3.1-8B-PlumMath
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: Winogrande (5-Shot)
          type: Winogrande
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 72.38
            name: acc
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MathQA (5-Shot)
          type: MathQA
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 40.27
            name: acc
tags:
  - mergekit
  - merge
  - shining-valiant
  - shining-valiant-2
  - cobalt
  - plum
  - valiant
  - valiant-labs
  - llama
  - llama-3.1
  - llama-3.1-instruct
  - llama-3.1-instruct-8b
  - llama-3
  - llama-3-instruct
  - llama-3-instruct-8b
  - 8b
  - math
  - math-instruct
  - science
  - physics
  - biology
  - chemistry
  - compsci
  - computer-science
  - engineering
  - technical
  - conversational
  - chat
  - instruct
license: llama3.1

PlumMath

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the della merge method using meta-llama/Llama-3.1-8B-Instruct as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Llama3.1-8B-ShiningValiant2
    parameters:
      density: 0.5
      weight: 0.3
  - model: ValiantLabs/Llama3.1-8B-Cobalt
    parameters:
      density: 0.5
      weight: 0.2
base_model: meta-llama/Llama-3.1-8B-Instruct