metadata
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.
Model details:
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 merge method using rombodawg/Rombos-LLM-V2.6-Qwen-14b as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
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
Detailed results can be found here
| 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 |