README.md

---
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](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the della merge method using [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) as a base.

### Models Merged

The following models were included in the merge:
* [ValiantLabs/Llama3.1-8B-ShiningValiant2](https://huggingface.co/ValiantLabs/Llama3.1-8B-ShiningValiant2)
* [ValiantLabs/Llama3.1-8B-Cobalt](https://huggingface.co/ValiantLabs/Llama3.1-8B-Cobalt)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
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
```