---
license: llama3.3
library_name: transformers
tags:
- mergekit
- merge
base_model:
- TheDrummer/Anubis-70B-v1
- TheDrummer/Nautilus-70B-v0.1
- codelion/Llama-3.3-70B-o1
model-index:
- name: Set-70b
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 76.43
      name: strict accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Set-70b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 56.88
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Set-70b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 36.33
      name: exact match
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Set-70b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 26.17
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Set-70b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 18.96
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Set-70b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 49.36
      name: accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Set-70b
      name: Open LLM Leaderboard
---
# Merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details

![image/webp](https://cdn-uploads.huggingface.co/production/uploads/66c1cc08453a7ef6c5fe657a/aJaq45k_SfLhcF6wJ-10R.webp)

RP with some o1 inspiration.

### Merge Method

This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [codelion/Llama-3.3-70B-o1](https://huggingface.co./codelion/Llama-3.3-70B-o1) as a base.

### Models Merged

The following models were included in the merge:
* [TheDrummer/Anubis-70B-v1](https://huggingface.co./TheDrummer/Anubis-70B-v1)
* [TheDrummer/Nautilus-70B-v0.1](https://huggingface.co./TheDrummer/Nautilus-70B-v0.1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: codelion/Llama-3.3-70B-o1
  - model: TheDrummer/Anubis-70B-v1
  - model: TheDrummer/Nautilus-70B-v0.1
base_model: codelion/Llama-3.3-70B-o1
merge_method: model_stock
parameters:
  normalize: true
dtype: bfloat16

```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/Triangle104__Set-70b-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |44.02|
|IFEval (0-Shot)    |76.43|
|BBH (3-Shot)       |56.88|
|MATH Lvl 5 (4-Shot)|36.33|
|GPQA (0-shot)      |26.17|
|MuSR (0-shot)      |18.96|
|MMLU-PRO (5-shot)  |49.36|