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---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- NousResearch/Hermes-3-Llama-3.1-8B
- huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated
model-index:
- name: DS-Distilled-Hermes-Llama-3.1
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: 32.29
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DS-Distilled-Hermes-Llama-3.1
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: 30.31
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DS-Distilled-Hermes-Llama-3.1
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: 20.62
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DS-Distilled-Hermes-Llama-3.1
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: 9.17
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DS-Distilled-Hermes-Llama-3.1
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: 9.78
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DS-Distilled-Hermes-Llama-3.1
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: 23.44
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DS-Distilled-Hermes-Llama-3.1
name: Open LLM Leaderboard
---
# Merge
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 [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
### 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)
* [huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated](https://huggingface.co/huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: NousResearch/Hermes-3-Llama-3.1-8B
layer_range: [0, 32]
- model: huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated
layer_range: [0, 32]
merge_method: slerp
base_model: NousResearch/Hermes-3-Llama-3.1-8B
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
```
# [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__DS-Distilled-Hermes-Llama-3.1-details)
| Metric |Value|
|-------------------|----:|
|Avg. |20.94|
|IFEval (0-Shot) |32.29|
|BBH (3-Shot) |30.31|
|MATH Lvl 5 (4-Shot)|20.62|
|GPQA (0-shot) | 9.17|
|MuSR (0-shot) | 9.78|
|MMLU-PRO (5-shot) |23.44|