README.md

---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- cognitivecomputations/dolphin-2.2.1-mistral-7b
- teknium/OpenHermes-2.5-Mistral-7B
model-index:
- name: RuDolph-Hermes-7B
  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: 36.04
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=theprint/RuDolph-Hermes-7B
      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: 30.71
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=theprint/RuDolph-Hermes-7B
      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: 5.06
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=theprint/RuDolph-Hermes-7B
      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: 8.28
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=theprint/RuDolph-Hermes-7B
      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: 11.03
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=theprint/RuDolph-Hermes-7B
      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: 23.03
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=theprint/RuDolph-Hermes-7B
      name: Open LLM Leaderboard
---
<img src="https://huggingface.co/theprint/RuDolph-Hermes-7B/resolve/main/rudolph_finn_hermes.png">

# Meet Rudolph Finn Hermes

This model is an homage to two of my all-time favorite versions of the Mistral 7B model, Dolphin and OpenHermes. Hence the silly name.

It's a good conversational model. The image is generated from a prompt written by the model, after being told to seek inspiration from its name.

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

## GGUF Versions

If you're looking for a GGUF-version, here's where to find some:

- [mradermacher/RuDolph-Hermes-7B-GGUF](https://huggingface.co/mradermacher/RuDolph-Hermes-7B-GGUF)
- [mradermacher/RuDolph-Hermes-7B-i1-GGUF](https://huggingface.co/mradermacher/RuDolph-Hermes-7B-i1-GGUF) (imatrix quants)

## Merge Details
### Merge Method

This model was merged using the SLERP merge method with a Sigmoid-inspired curve.

### Models Merged

The following models were included in the merge:
* [cognitivecomputations/dolphin-2.2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.2.1-mistral-7b)
* [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: teknium/OpenHermes-2.5-Mistral-7B
  - model: cognitivecomputations/dolphin-2.2.1-mistral-7b
merge_method: slerp
base_model: teknium/OpenHermes-2.5-Mistral-7B
dtype: bfloat16
parameters:
  t: [0.2, 0.3, 0.5, 0.7, 0.8]
```

# [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/details_theprint__RuDolph-Hermes-7B)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |19.02|
|IFEval (0-Shot)    |36.04|
|BBH (3-Shot)       |30.71|
|MATH Lvl 5 (4-Shot)| 5.06|
|GPQA (0-shot)      | 8.28|
|MuSR (0-shot)      |11.03|
|MMLU-PRO (5-shot)  |23.03|