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Heart_Stolen-ALT-8B-Model_Stock - GGUF
- Model creator: https://huggingface.co/DreadPoor/
- Original model: https://huggingface.co/DreadPoor/Heart_Stolen-ALT-8B-Model_Stock/
Original model description:
license: apache-2.0 library_name: transformers tags: - mergekit - merge base_model: - akjindal53244/Llama-3.1-Storm-8B - ResplendentAI/NoWarning_Llama3 - mlabonne/Hermes-3-Llama-3.1-8B-lorablated - kloodia/lora-8b-bio - Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 - kloodia/lora-8b-physic - DreadPoor/ScaduTorrent1.1-8b-model_stock - kloodia/lora-8b-medic - NeverSleep/Lumimaid-v0.2-8B - ResplendentAI/Theory_of_Mind_Llama3 - Sao10K/Llama-3.1-8B-Stheno-v3.4 - ResplendentAI/Smarts_Llama3 model-index: - name: Heart_Stolen-ALT-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: 71.84 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Heart_Stolen-ALT-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: 32.35 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Heart_Stolen-ALT-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: 13.6 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Heart_Stolen-ALT-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: 6.82 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Heart_Stolen-ALT-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: 9.75 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Heart_Stolen-ALT-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: 30.8 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Heart_Stolen-ALT-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/Llama-3.1-8B-Stheno-v3.4 + ResplendentAI/Smarts_Llama3 as a base.
Models Merged
The following models were included in the merge:
- akjindal53244/Llama-3.1-Storm-8B + ResplendentAI/NoWarning_Llama3
- mlabonne/Hermes-3-Llama-3.1-8B-lorablated + kloodia/lora-8b-bio
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 + kloodia/lora-8b-physic
- DreadPoor/ScaduTorrent1.1-8b-model_stock + kloodia/lora-8b-medic
- NeverSleep/Lumimaid-v0.2-8B + ResplendentAI/Theory_of_Mind_Llama3
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2+kloodia/lora-8b-physic
- model: akjindal53244/Llama-3.1-Storm-8B+ResplendentAI/NoWarning_Llama3
- model: DreadPoor/ScaduTorrent1.1-8b-model_stock+kloodia/lora-8b-medic
- model: NeverSleep/Lumimaid-v0.2-8B+ResplendentAI/Theory_of_Mind_Llama3
- model: mlabonne/Hermes-3-Llama-3.1-8B-lorablated+kloodia/lora-8b-bio
merge_method: model_stock
base_model: Sao10K/Llama-3.1-8B-Stheno-v3.4+ResplendentAI/Smarts_Llama3
normalize: false
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 27.53 |
| IFEval (0-Shot) | 71.84 |
| BBH (3-Shot) | 32.35 |
| MATH Lvl 5 (4-Shot) | 13.60 |
| GPQA (0-shot) | 6.82 |
| MuSR (0-shot) | 9.75 |
| MMLU-PRO (5-shot) | 30.80 |
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