RichardErkhov/lemon07r_-_Gemma-2-Ataraxy-Advanced-9B-gguf
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Quantization made by Richard Erkhov.
Gemma-2-Ataraxy-Advanced-9B - GGUF
- Model creator: https://huggingface.co/lemon07r/
- Original model: https://huggingface.co/lemon07r/Gemma-2-Ataraxy-Advanced-9B/
Original model description: --- library_name: transformers tags:
- mergekit
- merge base_model:
- jsgreenawalt/gemma-2-9B-it-advanced-v2.1
- lemon07r/Gemma-2-Ataraxy-9B model-index:
- name: Gemma-2-Ataraxy-Advanced-9B 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: 55.16 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=lemon07r/Gemma-2-Ataraxy-Advanced-9B 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: 41.16 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-Advanced-9B 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: 0.15 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-Advanced-9B 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: 11.41 name: accnorm source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=lemon07r/Gemma-2-Ataraxy-Advanced-9B 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: 6.51 name: accnorm source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=lemon07r/Gemma-2-Ataraxy-Advanced-9B 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: 36.04 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=lemon07r/Gemma-2-Ataraxy-Advanced-9B name: Open LLM Leaderboard ---
Gemma-2-Ataraxy-Advanced-9B
Another test model that you should probably ignore.
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:
Configuration
The following YAML configuration was used to produce this model:
base_model: jsgreenawalt/gemma-2-9B-it-advanced-v2.1
dtype: bfloat16
merge_method: slerp
parameters:
t:
- filter: self_attn
value: [0.0, 0.5, 0.3, 0.7, 1.0]
- filter: mlp
value: [1.0, 0.5, 0.7, 0.3, 0.0]
- value: 0.5
slices:
- sources:
- layer_range: [0, 42]
model: lemon07r/Gemma-2-Ataraxy-9B
- layer_range: [0, 42]
model: jsgreenawalt/gemma-2-9B-it-advanced-v2.1Open LLM Leaderboard Evaluation Results
Detailed results can be found here
