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RichardErkhov/lemon07r_-_Gemma-2-Ataraxy-Advanced-9B-gguf

sourceHugging Faceupdated 2y agoView on Hugging Face
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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:

yaml
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-v2.1

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

MetricValue
Avg.25.07
IFEval (0-Shot)55.16
BBH (3-Shot)41.16
MATH Lvl 5 (4-Shot)0.15
GPQA (0-shot)11.41
MuSR (0-shot)6.51
MMLU-PRO (5-shot)36.04