mergekit
merge base_model:
princeton-nlp/Llama-3-Instruct-8B-SimPO
UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3 pipeline_tag: text-generation model-index:
name: Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge results:
- task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: num_few_shot: 0 metrics:
  - type: inst_level_strict_acc and prompt_level_strict_acc value: 68.06 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: num_few_shot: 3 metrics:
  - type: acc_norm value: 29.07 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competition_math args: num_few_shot: 4 metrics:
  - type: exact_match value: 6.19 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: num_few_shot: 0 metrics:
  - type: acc_norm value: 1.68 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: num_few_shot: 0 metrics:
  - type: acc_norm value: 6.7 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge 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: num_few_shot: 5 metrics:
  - type: acc value: 29.83 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge name: Open LLM Leaderboard

Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge

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

Built with Meta Llama 3.

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

slices:
- sources:
  - model: princeton-nlp/Llama-3-Instruct-8B-SimPO
    layer_range:
    - 0
    - 32
  - model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3
    layer_range:
    - 0
    - 32
merge_method: slerp
base_model: princeton-nlp/Llama-3-Instruct-8B-SimPO
parameters:
  t:
  - filter: self_attn
    value:
    - 0
    - 0.5
    - 0.3
    - 0.7
    - 1
  - filter: mlp
    value:
    - 1
    - 0.5
    - 0.7
    - 0.3
    - 0
  - value: 0.5
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	23.59
IFEval (0-Shot)	68.06
BBH (3-Shot)	29.07
MATH Lvl 5 (4-Shot)	6.19
GPQA (0-shot)	1.68
MuSR (0-shot)	6.70
MMLU-PRO (5-shot)	29.83

RichardErkhov/grimjim_-_Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge-8bits

Original model description: