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Adding Evaluation Results (#1)
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---
language:
- en
license: llama3.2
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Rombo-Org/Rombo-LLM-V2.7-llama-3.2-3b
- unsloth/Llama-3.2-3B
- Triangle104/Hermes3-R1-Llama3.2-3b
model-index:
- name: RomboHermes3-R1-Llama3.2-3b
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: 30.07
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/RomboHermes3-R1-Llama3.2-3b
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: 19.09
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/RomboHermes3-R1-Llama3.2-3b
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: 8.16
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/RomboHermes3-R1-Llama3.2-3b
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: 4.47
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/RomboHermes3-R1-Llama3.2-3b
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: 4.41
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/RomboHermes3-R1-Llama3.2-3b
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: 21.75
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/RomboHermes3-R1-Llama3.2-3b
name: Open LLM Leaderboard
---
# Merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
Quant: https://huggingface.co/Triangle104/RomboHermes3-R1-Llama3.2-3b-Q4_K_M-GGUF
## Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [unsloth/Llama-3.2-3B](https://huggingface.co/unsloth/Llama-3.2-3B) as a base.
### Models Merged
The following models were included in the merge:
* [Rombo-Org/Rombo-LLM-V2.7-llama-3.2-3b](https://huggingface.co/Rombo-Org/Rombo-LLM-V2.7-llama-3.2-3b)
* [Triangle104/Hermes3-R1-Llama3.2-3b](https://huggingface.co/Triangle104/Hermes3-R1-Llama3.2-3b)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: Rombo-Org/Rombo-LLM-V2.7-llama-3.2-3b
parameters:
density: 1
weight: 1
- model: Triangle104/Hermes3-R1-Llama3.2-3b
parameters:
density: 1
weight: 1
merge_method: ties
base_model: unsloth/Llama-3.2-3B
parameters:
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/Triangle104__RomboHermes3-R1-Llama3.2-3b-details)
| Metric |Value|
|-------------------|----:|
|Avg. |14.66|
|IFEval (0-Shot) |30.07|
|BBH (3-Shot) |19.09|
|MATH Lvl 5 (4-Shot)| 8.16|
|GPQA (0-shot) | 4.47|
|MuSR (0-shot) | 4.41|
|MMLU-PRO (5-shot) |21.75|