RichardErkhov/DreadPoor_-_Heart_Stolen-ALT-8B-Model_Stock-gguf

Quantization made by Richard Erkhov.

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HeartStolen-ALT-8B-ModelStock - GGUF

• —Model creator: https://huggingface.co/DreadPoor/
• —Original model: https://huggingface.co/DreadPoor/HeartStolen-ALT-8B-ModelStock/

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/TheoryofMind_Llama3
• —Sao10K/Llama-3.1-8B-Stheno-v3.4
• —ResplendentAI/Smarts_Llama3 model-index:
• —name: HeartStolen-ALT-8B-ModelStock results:
• —task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: numfewshot: 0 metrics:
• —type: instlevelstrictacc and promptlevelstrictacc value: 71.84 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=DreadPoor/HeartStolen-ALT-8B-ModelStock name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: numfewshot: 3 metrics:
• —type: accnorm value: 32.35 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=DreadPoor/HeartStolen-ALT-8B-Model_Stock name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competitionmath args: numfew_shot: 4 metrics:
• —type: exactmatch value: 13.6 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=DreadPoor/HeartStolen-ALT-8B-Model_Stock name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: numfewshot: 0 metrics:
• —type: accnorm value: 6.82 name: accnorm source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=DreadPoor/HeartStolen-ALT-8B-ModelStock name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: numfewshot: 0 metrics:
• —type: accnorm value: 9.75 name: accnorm source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=DreadPoor/HeartStolen-ALT-8B-ModelStock 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: numfewshot: 5 metrics:
• —type: acc value: 30.8 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=DreadPoor/HeartStolen-ALT-8B-ModelStock 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