README.md

metadata

base_model:
  - meta-llama/Llama-2-7b-hf
  - meta-llama/CodeLlama-7b-hf
library_name: transformers
tags:
  - mergekit
  - merge
license: llama2
model-index:
  - name: coma-7B-v0.1
    results:
      - task:
          type: text-generation
        dataset:
          type: lm-evaluation-harness
          name: bbh
        metrics:
          - name: acc_norm
            type: acc_norm
            value: 0.3355
            verified: false
      - task:
          type: text-generation
        dataset:
          type: lm-evaluation-harness
          name: gpqa
        metrics:
          - name: acc_norm
            type: acc_norm
            value: 0.2587
            verified: false
      - task:
          type: text-generation
        dataset:
          type: lm-evaluation-harness
          name: math
        metrics:
          - name: exact_match
            type: exact_match
            value: 0.0104
            verified: false
      - task:
          type: text-generation
        dataset:
          type: lm-evaluation-harness
          name: mmlu
        metrics:
          - name: acc_norm
            type: acc_norm
            value: 0.1433
            verified: false
      - task:
          type: text-generation
        dataset:
          type: lm-evaluation-harness
          name: musr
        metrics:
          - name: acc_norm
            type: acc_norm
            value: 0.3844
            verified: false
      - task:
          type: text-generation
        dataset:
          type: lm-evaluation-harness
          name: hellaswag
        metrics:
          - name: acc
            type: acc
            value: 0.5182234614618602
            verified: false
          - name: acc_norm
            type: acc_norm
            value: 0.6834295956980682
            verified: false

coma-7B-v0.1

CodeLlama + Llama = CoMa :) This is an experiment to try merged models

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

Quantized version: DevQuasar/coma-7B-v0.1-GGUF

Merge Details

Merge Method

This model was merged using the linear merge method.

Models Merged

"Blast from the Past" :D The following models were included in the merge:

• meta-llama/Llama-2-7b-hf
• meta-llama/CodeLlama-7b-hf

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: meta-llama/Llama-2-7b-hf
    parameters:
      weight: 1.0
  - model: meta-llama/CodeLlama-7b-hf
    parameters:
      weight: 0.5
merge_method: linear
dtype: float16

I'm doing this to 'Make knowledge free for everyone', using my personal time and resources.

If you want to support my efforts please visit my ko-fi page: https://ko-fi.com/devquasar

Also feel free to visit my website https://devquasar.com/