metadata
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
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.
GGUF Versions
If you're looking for a GGUF-version, here's where to find some:
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:
Configuration
The following YAML configuration was used to produce this model:
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
Detailed results can be found here
| 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 |