---
license: llama3.2
library_name: transformers
tags:
- mergekit
- merge
base_model:
- NousResearch/Hermes-3-Llama-3.2-3B
- prithivMLmods/Llama-Thinker-3B-Preview2
model-index:
- name: Hermes-Llama-3.2-CoT
  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: 41.78
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Hermes-Llama-3.2-CoT
      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: 23.8
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Hermes-Llama-3.2-CoT
      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: 9.14
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Hermes-Llama-3.2-CoT
      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: 3.91
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Hermes-Llama-3.2-CoT
      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: 5.09
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Hermes-Llama-3.2-CoT
      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: 21.63
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Hermes-Llama-3.2-CoT
      name: Open LLM Leaderboard
---
# Merge

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

## Merge Details

Hermes with some Chain of Thought running though its veins.

Quant: https://huggingface.co/Triangle104/Hermes-Llama-3.2-CoT-Q4_K_M-GGUF

### Merge Method

This model was merged using the SLERP merge method.

### Models Merged

The following models were included in the merge:
* [NousResearch/Hermes-3-Llama-3.2-3B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.2-3B)
* [prithivMLmods/Llama-Thinker-3B-Preview2](https://huggingface.co/prithivMLmods/Llama-Thinker-3B-Preview2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: NousResearch/Hermes-3-Llama-3.2-3B
  - model: prithivMLmods/Llama-Thinker-3B-Preview2
merge_method: slerp
base_model: NousResearch/Hermes-3-Llama-3.2-3B
dtype: bfloat16
parameters:
  t: [0, 0.5, 0.7, 1, 0.7, 0.5, 0]

```
# [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__Hermes-Llama-3.2-CoT-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |17.56|
|IFEval (0-Shot)    |41.78|
|BBH (3-Shot)       |23.80|
|MATH Lvl 5 (4-Shot)| 9.14|
|GPQA (0-shot)      | 3.91|
|MuSR (0-shot)      | 5.09|
|MMLU-PRO (5-shot)  |21.63|