---
base_model:
- grimjim/SauerHuatuoSkywork-o1-Llama-3.1-8B
library_name: transformers
pipeline_tag: text-generation
quanted_by: grimjim
license: llama3.1
model-index:
- name: SauerHuatuoSkywork-o1-Llama-3.1-8B
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: wis-k/instruction-following-eval
      split: train
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 52.19
      name: averaged accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FSauerHuatuoSkywork-o1-Llama-3.1-8B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: SaylorTwift/bbh
      split: test
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 32.09
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FSauerHuatuoSkywork-o1-Llama-3.1-8B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: lighteval/MATH-Hard
      split: test
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 16.99
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FSauerHuatuoSkywork-o1-Llama-3.1-8B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      split: train
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 9.51
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FSauerHuatuoSkywork-o1-Llama-3.1-8B
      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: 15.79
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FSauerHuatuoSkywork-o1-Llama-3.1-8B
      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: 33.23
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FSauerHuatuoSkywork-o1-Llama-3.1-8B
      name: Open LLM Leaderboard
---
# SauerHuatuoSkywork-o1-Llama-3.1-8B-GGUF

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

An experiment to hybridize a relatively high scoring Llama 3.1 8B model with o1 reasoning capabilities.

Although IFEval benched lower than the SauerkrautLM mode, every other benchmark improved from the addition of the o1 merge at low weight.

Made with Llama.

## Merge Details
### Merge Method

This model was merged using the SLERP merge method.

### Models Merged

The following models were included in the merge:
* [grimjim/HuatuoSkywork-o1-Llama-3.1-8B](https://huggingface.co/grimjim/HuatuoSkywork-o1-Llama-3.1-8B)
* [VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: grimjim/HuatuoSkywork-o1-Llama-3.1-8B
  - model: VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
merge_method: slerp
base_model: grimjim/HuatuoSkywork-o1-Llama-3.1-8B
parameters:
  t:
   - value: 0.96
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/grimjim__SauerHuatuoSkywork-o1-Llama-3.1-8B-details)!
Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=grimjim%2FSauerHuatuoSkywork-o1-Llama-3.1-8B&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!

|      Metric       |Value (%)|
|-------------------|--------:|
|**Average**        |    26.63|
|IFEval (0-Shot)    |    52.19|
|BBH (3-Shot)       |    32.09|
|MATH Lvl 5 (4-Shot)|    16.99|
|GPQA (0-shot)      |     9.51|
|MuSR (0-shot)      |    15.79|
|MMLU-PRO (5-shot)  |    33.23|