README.md

metadata

license: apache-2.0
library_name: transformers
tags:
  - mergekit
  - merge
  - roleplay
  - llama
  - llama-3.1
base_model:
  - NeverSleep/Lumimaid-v0.2-8B
  - kloodia/lora-8b-medic
  - nothingiisreal/L3.1-8B-Celeste-V1.5
  - kloodia/lora-8b-bio
  - mlabonne/Hermes-3-Llama-3.1-8B-lorablated
  - Azazelle/RP_Format_QuoteAsterisk_Llama3
  - vicgalle/Configurable-Llama-3.1-8B-Instruct
  - kloodia/lora-8b-physic
  - Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
model-index:
  - name: Gluon-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: 50.53
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=rmdhirr/Gluon-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: 30.34
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=rmdhirr/Gluon-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: 12.54
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=rmdhirr/Gluon-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: 8.28
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=rmdhirr/Gluon-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: 9.09
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=rmdhirr/Gluon-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: 31.2
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=rmdhirr/Gluon-8B
          name: Open LLM Leaderboard

⚛️ Gluon-8B

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

Quantizations

GGUF

• Static Quants
• Imatrix Quants
• Only Q8_0

Models Merged

The following models were included in the merge:

• NeverSleep/Lumimaid-v0.2-8B + kloodia/lora-8b-medic
• nothingiisreal/L3.1-8B-Celeste-V1.5 + kloodia/lora-8b-bio
• mlabonne/Hermes-3-Llama-3.1-8B-lorablated + Azazelle/RP_Format_QuoteAsterisk_Llama3
• vicgalle/Configurable-Llama-3.1-8B-Instruct + kloodia/lora-8b-physic

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: mlabonne/Hermes-3-Llama-3.1-8B-lorablated+Azazelle/RP_Format_QuoteAsterisk_Llama3
  - model: vicgalle/Configurable-Llama-3.1-8B-Instruct+kloodia/lora-8b-physic
  - model: NeverSleep/Lumimaid-v0.2-8B+kloodia/lora-8b-medic
  - model: nothingiisreal/L3.1-8B-Celeste-V1.5+kloodia/lora-8b-bio
merge_method: model_stock
base_model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
normalize: true
int8_mask: true
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	23.66
IFEval (0-Shot)	50.53
BBH (3-Shot)	30.34
MATH Lvl 5 (4-Shot)	12.54
GPQA (0-shot)	8.28
MuSR (0-shot)	9.09
MMLU-PRO (5-shot)	31.20