README.md

metadata

license: apache-2.0
library_name: transformers
tags:
  - merge
  - mergekit
  - lazymergekit
base_model:
  - vicgalle/Configurable-Llama-3.1-8B-Instruct
  - cognitivecomputations/dolphin-2.9.4-llama3.1-8b
  - NousResearch/Hermes-3-Llama-3.1-8B
  - NeverSleep/Lumimaid-v0.2-8B
  - Sao10K/L3-8B-Stheno-v3.2
  - DreadPoor/ScaduTorrent-8B-model_stock
model-index:
  - name: Trinas_Nectar-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: 72.59
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Trinas_Nectar-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: 31.98
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Trinas_Nectar-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: 13.75
            name: exact match
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Trinas_Nectar-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: 4.81
            name: acc_norm
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Trinas_Nectar-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: 11.41
            name: acc_norm
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Trinas_Nectar-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: 29.09
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Trinas_Nectar-8B-model_stock
          name: Open LLM Leaderboard

Trinas_Nectar-8B-model_stock

This model hopes to be an improvement over ONeil

Trinas_Nectar-8B-model_stock is a merge of the following models using mergekit:

🧩 Configuration

models: 
 - model: vicgalle/Configurable-Llama-3.1-8B-Instruct
 - model: cognitivecomputations/dolphin-2.9.4-llama3.1-8b
 - model: NousResearch/Hermes-3-Llama-3.1-8B
 - model: NeverSleep/Lumimaid-v0.2-8B
 - model: DreadPoor/ScaduTorrent-8B-model_stock
merge_method: model_stock
base_model: Sao10K/L3-8B-Stheno-v3.2 
normalize: false
int8_mask: true
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	27.27
IFEval (0-Shot)	72.59
BBH (3-Shot)	31.98
MATH Lvl 5 (4-Shot)	13.75
GPQA (0-shot)	4.81
MuSR (0-shot)	11.41
MMLU-PRO (5-shot)	29.09