---
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](https://github.com/cg123/mergekit).

## Quantizations
### GGUF
- [Static Quants](https://huggingface.co/mradermacher/Gluon-8B-GGUF)
- [Imatrix Quants](https://huggingface.co/mradermacher/Gluon-8B-i1-GGUF)
- [Only Q8_0](https://huggingface.co/dasChronos1/Gluon-8B-Q8_0-GGUF)

## Models Merged

The following models were included in the merge:
* [NeverSleep/Lumimaid-v0.2-8B](https://huggingface.co/NeverSleep/Lumimaid-v0.2-8B) + [kloodia/lora-8b-medic](https://huggingface.co/kloodia/lora-8b-medic)
* [nothingiisreal/L3.1-8B-Celeste-V1.5](https://huggingface.co/nothingiisreal/L3.1-8B-Celeste-V1.5) + [kloodia/lora-8b-bio](https://huggingface.co/kloodia/lora-8b-bio)
* [mlabonne/Hermes-3-Llama-3.1-8B-lorablated](https://huggingface.co/mlabonne/Hermes-3-Llama-3.1-8B-lorablated) + [Azazelle/RP_Format_QuoteAsterisk_Llama3](https://huggingface.co/Azazelle/RP_Format_QuoteAsterisk_Llama3)
* [vicgalle/Configurable-Llama-3.1-8B-Instruct](https://huggingface.co/vicgalle/Configurable-Llama-3.1-8B-Instruct) + [kloodia/lora-8b-physic](https://huggingface.co/kloodia/lora-8b-physic)

## Configuration

The following YAML configuration was used to produce this model:

```yaml
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](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_rmdhirr__Gluon-8B)

|      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|