---
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- S-miguel/The-Trinity-Coder-7B
- macadeliccc/WestLake-7B-v2-laser-truthy-dpo
- mistralai/Mistral-7B-v0.1
- bobofrut/ladybird-base-7B-v8
model-index:
- name: threebird-7B
  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: 72.44
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Lambent/threebird-7B
      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: 87.82
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Lambent/threebird-7B
      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: 65.02
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Lambent/threebird-7B
      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: 67.61
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Lambent/threebird-7B
      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: 84.93
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Lambent/threebird-7B
      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: 71.72
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Lambent/threebird-7B
      name: Open LLM Leaderboard
---
# threebird

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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.

### Models Merged

The following models were included in the merge:
* [S-miguel/The-Trinity-Coder-7B](https://huggingface.co/S-miguel/The-Trinity-Coder-7B)
* [macadeliccc/WestLake-7B-v2-laser-truthy-dpo](https://huggingface.co/macadeliccc/WestLake-7B-v2-laser-truthy-dpo)
* [bobofrut/ladybird-base-7B-v8](https://huggingface.co/bobofrut/ladybird-base-7B-v8)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: bobofrut/ladybird-base-7B-v8
    parameters:
      density: 1.0
      weight: 1.0
  - model: S-miguel/The-Trinity-Coder-7B
    parameters:
      density: 1.0
      weight: 1.0
  - model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
    parameters:
      density: 1.0
      weight: 1.0
base_model: mistralai/Mistral-7B-v0.1
merge_method: ties
dtype: float16

```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Lambent__threebird-7B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |74.92|
|AI2 Reasoning Challenge (25-Shot)|72.44|
|HellaSwag (10-Shot)              |87.82|
|MMLU (5-Shot)                    |65.02|
|TruthfulQA (0-shot)              |67.61|
|Winogrande (5-shot)              |84.93|
|GSM8k (5-shot)                   |71.72|