Merged Models
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These are models created by merging existing models that are already fine tuned or even merged themselves.
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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 |
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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for theprint/RuDolph-Hermes-7B
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Collection including theprint/RuDolph-Hermes-7B
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard36.040
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard30.710
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard5.060
- acc_norm on GPQA (0-shot)Open LLM Leaderboard8.280
- acc_norm on MuSR (0-shot)Open LLM Leaderboard11.030
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard23.030