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RichardErkhov/NotASI_-_FineTome-v1.5-Llama3.2-1B-1007-gguf

sourceHugging Faceupdated 2y agoView on Hugging Face
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Quantization made by Richard Erkhov.

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FineTome-v1.5-Llama3.2-1B-1007 - GGUF

  • —Model creator: https://huggingface.co/NotASI/
  • —Original model: https://huggingface.co/NotASI/FineTome-v1.5-Llama3.2-1B-1007/

Original model description: --- license: llama3.2 library_name: transformers tags:

  • —mergekit
  • —merge base_model:
  • —NotASI/FineTome-Llama3.2-1B-0929
  • —unsloth/Llama-3.2-1B-Instruct model-index:
  • —name: FineTome-v1.5-Llama3.2-1B-1007 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: 39.24 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=NotASI/FineTome-v1.5-Llama3.2-1B-1007 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: 5.8 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllm_leaderboard?query=NotASI/FineTome-v1.5-Llama3.2-1B-1007 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: 1.36 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllm_leaderboard?query=NotASI/FineTome-v1.5-Llama3.2-1B-1007 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: 0.0 name: accnorm source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=NotASI/FineTome-v1.5-Llama3.2-1B-1007 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: 2.5 name: accnorm source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=NotASI/FineTome-v1.5-Llama3.2-1B-1007 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: 4.74 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=NotASI/FineTome-v1.5-Llama3.2-1B-1007 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 TIES merge method using unsloth/Llama-3.2-1B-Instruct as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml
models:
  - model: NotASI/FineTome-Llama3.2-1B-0929
    parameters:
      weight: 1
  - model: unsloth/Llama-3.2-1B-Instruct
    parameters:
      weight: 1
merge_method: ties
base_model: unsloth/Llama-3.2-1B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

MetricValue
Avg.8.94
IFEval (0-Shot)39.24
BBH (3-Shot)5.80
MATH Lvl 5 (4-Shot)1.36
GPQA (0-shot)0.00
MuSR (0-shot)2.50
MMLU-PRO (5-shot)4.74