language, license, library_name, tags, base_model, pipeline_tag, model_type, model-index

language	license	library_name	tags	base_model	pipeline_tag	model_type	model-index
en	llama3.1	transformers	mergekit merge shining-valiant shining-valiant-2 cobalt plum valiant valiant-labs llama llama-3.1 llama-3.1-instruct llama-3.1-instruct-8b llama-3 llama-3-instruct llama-3-instruct-8b 8b math math-instruct science physics biology chemistry compsci computer-science engineering technical conversational chat instruct	meta-llama/Llama-3.1-8B-Instruct ValiantLabs/Llama3.1-8B-ShiningValiant2 ValiantLabs/Llama3.1-8B-Cobalt	text-generation	llama	name results sequelbox/Llama3.1-8B-PlumMath task dataset metrics type name text-generation Text Generation name type args Winogrande (5-Shot) Winogrande num_few_shot 5 type value name acc 72.38 acc task dataset metrics type name text-generation Text Generation name type args MathQA (5-Shot) MathQA num_few_shot 5 type value name acc 40.27 acc task dataset metrics source type name text-generation Text Generation name type args IFEval (0-Shot) HuggingFaceH4/ifeval num_few_shot 0 type value name inst_level_strict_acc and prompt_level_strict_acc 22.42 strict accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args BBH (3-Shot) BBH num_few_shot 3 type value name acc_norm 16.45 normalized accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args MATH Lvl 5 (4-Shot) hendrycks/competition_math num_few_shot 4 type value name exact_match 3.93 exact match url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args GPQA (0-shot) Idavidrein/gpqa num_few_shot 0 type value name acc_norm 9.06 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args MuSR (0-shot) TAUR-Lab/MuSR num_few_shot 0 type value name acc_norm 8.98 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU-PRO (5-shot) TIGER-Lab/MMLU-Pro main test num_few_shot 5 type value name acc 21.95 accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath Open LLM Leaderboard

PlumMath

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

Merge Details

Merge Method

This model was merged using the della merge method using meta-llama/Llama-3.1-8B-Instruct as a base.

Models Merged

The following models were included in the merge:

• ValiantLabs/Llama3.1-8B-ShiningValiant2
• ValiantLabs/Llama3.1-8B-Cobalt

Configuration

The following YAML configuration was used to produce this model:

merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Llama3.1-8B-ShiningValiant2
    parameters:
      density: 0.5
      weight: 0.3
  - model: ValiantLabs/Llama3.1-8B-Cobalt
    parameters:
      density: 0.5
      weight: 0.2
base_model: meta-llama/Llama-3.1-8B-Instruct

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	13.80
IFEval (0-Shot)	22.42
BBH (3-Shot)	16.45
MATH Lvl 5 (4-Shot)	3.93
GPQA (0-shot)	9.06
MuSR (0-shot)	8.98
MMLU-PRO (5-shot)	21.95