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---
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|
|