README.md

metadata

license: llama3.1
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - NousResearch/Hermes-3-Llama-3.1-8B
  - DavidAU/L3.1-RP-Hero-BigTalker-8B
  - arcee-ai/Llama-3.1-SuperNova-Lite
model-index:
  - name: BigTalker-Lite-8B
    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: 36.89
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/BigTalker-Lite-8B
          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: 32.68
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/BigTalker-Lite-8B
          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: 9.97
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/BigTalker-Lite-8B
          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: 8.05
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/BigTalker-Lite-8B
          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: 11.04
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/BigTalker-Lite-8B
          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: 27.01
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/BigTalker-Lite-8B
          name: Open LLM Leaderboard

merge

---

Model details:

Roleplaying model using SuperNova Lite, Hermes 3 and BigTaker.

---

This is a merge of pre-trained language models created using mergekit.

Merge Method

This model was merged using the TIES merge method using arcee-ai/Llama-3.1-SuperNova-Lite as a base.

Models Merged

The following models were included in the merge:

• NousResearch/Hermes-3-Llama-3.1-8B
• DavidAU/L3.1-RP-Hero-BigTalker-8B

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: arcee-ai/Llama-3.1-SuperNova-Lite
    #no parameters necessary for base model
  - model: NousResearch/Hermes-3-Llama-3.1-8B
    parameters:
      density: 0.7
      weight: 0.7
  - model: DavidAU/L3.1-RP-Hero-BigTalker-8B
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: arcee-ai/Llama-3.1-SuperNova-Lite
parameters:
  normalize: false
  int8_mask: true
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	20.94
IFEval (0-Shot)	36.89
BBH (3-Shot)	32.68
MATH Lvl 5 (4-Shot)	9.97
GPQA (0-shot)	8.05
MuSR (0-shot)	11.04
MMLU-PRO (5-shot)	27.01