README.md

---
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
---

Model details:
-
Roleplaying model using SuperNova Lite, Hermes 3 and BigTaker.

---
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [arcee-ai/Llama-3.1-SuperNova-Lite](https://huggingface.co/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](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B)
* [DavidAU/L3.1-RP-Hero-BigTalker-8B](https://huggingface.co/DavidAU/L3.1-RP-Hero-BigTalker-8B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
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](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/Triangle104__BigTalker-Lite-8B-details)

|      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|