license, library_name, tags, base_model, model-index

license	library_name	tags	base_model	model-index
llama3.2	transformers	mergekit merge	KidIkaros/Llama-3.2-1B-Instruct-abliterated Nexesenex/Llama_3.2_1b_Dolto_0.1 Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1	name results Llama_3.2_1b_RandomLego_RP_R1_0.1 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 55.43 strict accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1 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 7.94 normalized accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1 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 5.66 exact match url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1 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 0.0 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1 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 1.58 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1 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 6.26 accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.2_1b_RandomLego_RP_R1_0.1 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 Model Stock merge method using KidIkaros/Llama-3.2-1B-Instruct-abliterated as a base.

Models Merged

The following models were included in the merge:

• Nexesenex/Llama_3.2_1b_Dolto_0.1
• Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1

Configuration

The following YAML configuration was used to produce this model:

merge_method: model_stock
models:
  - model: Nexesenex/Llama_3.2_1b_Dolto_0.1
    parameters:
      weight: 1.0
  - model: Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1
    parameters:
      weight: 1.0
base_model: KidIkaros/Llama-3.2-1B-Instruct-abliterated
dtype: bfloat16
normalize: true

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	12.81
IFEval (0-Shot)	55.43
BBH (3-Shot)	7.94
MATH Lvl 5 (4-Shot)	5.66
GPQA (0-shot)	0.00
MuSR (0-shot)	1.58
MMLU-PRO (5-shot)	6.26