RichardErkhov/zelk12_-_recoilme-gemma-2-Gutenberg-Doppel-9B-v0.1-gguf

Quantization made by Richard Erkhov.

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recoilme-gemma-2-Gutenberg-Doppel-9B-v0.1 - GGUF

• —Model creator: https://huggingface.co/zelk12/
• —Original model: https://huggingface.co/zelk12/recoilme-gemma-2-Gutenberg-Doppel-9B-v0.1/

Original model description: --- library_name: transformers tags:

• —mergekit
• —merge base_model:
• —recoilme/recoilme-gemma-2-9B-v0.4
• —nbeerbower/Gemma2-Gutenberg-Doppel-9B model-index:
• —name: recoilme-gemma-2-Gutenberg-Doppel-9B-v0.1 results:
• —task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: numfewshot: 0 metrics:
• —type: instlevelstrictacc and promptlevelstrictacc value: 76.15 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=zelk12/recoilme-gemma-2-Gutenberg-Doppel-9B-v0.1 name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: numfewshot: 3 metrics:
• —type: accnorm value: 43.94 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllm_leaderboard?query=zelk12/recoilme-gemma-2-Gutenberg-Doppel-9B-v0.1 name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competitionmath args: numfew_shot: 4 metrics:
• —type: exactmatch value: 6.34 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllm_leaderboard?query=zelk12/recoilme-gemma-2-Gutenberg-Doppel-9B-v0.1 name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: numfewshot: 0 metrics:
• —type: accnorm value: 12.19 name: accnorm source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=zelk12/recoilme-gemma-2-Gutenberg-Doppel-9B-v0.1 name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: numfewshot: 0 metrics:
• —type: accnorm value: 13.31 name: accnorm source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=zelk12/recoilme-gemma-2-Gutenberg-Doppel-9B-v0.1 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: numfewshot: 5 metrics:
• —type: acc value: 36.84 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=zelk12/recoilme-gemma-2-Gutenberg-Doppel-9B-v0.1 name: Open LLM Leaderboard ---

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• —recoilme/recoilme-gemma-2-9B-v0.4
• —nbeerbower/Gemma2-Gutenberg-Doppel-9B

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: recoilme/recoilme-gemma-2-9B-v0.4
  - model: nbeerbower/Gemma2-Gutenberg-Doppel-9B
merge_method: slerp
base_model: recoilme/recoilme-gemma-2-9B-v0.4
dtype: bfloat16
parameters:
  t: 0.5

Open LLM Leaderboard Evaluation Results

Detailed results can be found here