README.md

---
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
- rombodawg/Rombos-LLM-V2.6-Qwen-14b
- nbeerbower/Qwen2.5-Gutenberg-Doppel-14B
model-index:
- name: Robo-Gutenberg_V1.0
  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: 60.08
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Robo-Gutenberg_V1.0
      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: 50.29
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Robo-Gutenberg_V1.0
      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: 21.3
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Robo-Gutenberg_V1.0
      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: 18.12
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Robo-Gutenberg_V1.0
      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: 19.2
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Robo-Gutenberg_V1.0
      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: 48.79
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Robo-Gutenberg_V1.0
      name: Open LLM Leaderboard
---
# merge

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

---
Model details:
-
![image/webp](https://cdn-uploads.huggingface.co/production/uploads/66c1cc08453a7ef6c5fe657a/fdMmP6oLy11PYZCBp3t2S.webp)

*He'll be back... or something.*

Quants can be found here:
-
https://huggingface.co/mradermacher/Robo-Gutenberg_V1.0-GGUF

https://huggingface.co/mradermacher/Robo-Gutenberg_V1.0-i1-GGUF

---
## Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [rombodawg/Rombos-LLM-V2.6-Qwen-14b](https://huggingface.co/rombodawg/Rombos-LLM-V2.6-Qwen-14b) as a base.

### Models Merged

The following models were included in the merge:
* [huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2](https://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2)
* [nbeerbower/Qwen2.5-Gutenberg-Doppel-14B](https://huggingface.co/nbeerbower/Qwen2.5-Gutenberg-Doppel-14B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
    #no parameters necessary for base model
  - model: nbeerbower/Qwen2.5-Gutenberg-Doppel-14B
    parameters:
      density: 0.7
      weight: 0.7
  - model: huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
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__Robo-Gutenberg_V1.0-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |36.30|
|IFEval (0-Shot)    |60.08|
|BBH (3-Shot)       |50.29|
|MATH Lvl 5 (4-Shot)|21.30|
|GPQA (0-shot)      |18.12|
|MuSR (0-shot)      |19.20|
|MMLU-PRO (5-shot)  |48.79|