mergekit
merge base_model:
Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
kloodia/lora-8b-bio
ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1
Blackroot/Llama-3-8B-Abomination-LORA
Sao10K/L3-8B-Stheno-v3.2
grimjim/Llama-3-Instruct-abliteration-LoRA-8B
arcee-ai/Llama-3.1-SuperNova-Lite
grimjim/Llama-3-Instruct-abliteration-LoRA-8B
mlabonne/Hermes-3-Llama-3.1-8B-lorablated
kloodia/lora-8b-physic
aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored
kloodia/lora-8b-medic model-index:
name: Aspire-8B-model_stock 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: 71.41 name: strict accuracy source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Aspire-8B-model_stock 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: 32.53 name: normalized accuracy source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Aspire-8B-model_stock 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: 12.99 name: exact match source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Aspire-8B-model_stock 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: 8.61 name: acc_norm source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Aspire-8B-model_stock 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: 13.46 name: acc_norm source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Aspire-8B-model_stock 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: 30.7 name: accuracy source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Aspire-8B-model_stock 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 Model Stock merge method using Sao10K/L3-8B-Stheno-v3.2 + grimjim/Llama-3-Instruct-abliteration-LoRA-8B 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: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2+kloodia/lora-8b-bio
  - model: arcee-ai/Llama-3.1-SuperNova-Lite+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
  - model: mlabonne/Hermes-3-Llama-3.1-8B-lorablated+kloodia/lora-8b-physic
  - model: aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored+kloodia/lora-8b-medic
  - model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1+Blackroot/Llama-3-8B-Abomination-LORA
merge_method: model_stock
base_model: Sao10K/L3-8B-Stheno-v3.2+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
normalize: false
int8_mask: true
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	28.28
IFEval (0-Shot)	71.41
BBH (3-Shot)	32.53
MATH Lvl 5 (4-Shot)	12.99
GPQA (0-shot)	8.61
MuSR (0-shot)	13.46
MMLU-PRO (5-shot)	30.70

RichardErkhov/DreadPoor_-_Aspire-8B-model_stock-8bits

Original model description: