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---
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library_name: transformers
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tags:
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- mergekit
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- merge
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base_model:
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- meditsolutions/Llama-3.1-MedIT-SUN-8B
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- allenai/Llama-3.1-Tulu-3-8B
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- arcee-ai/Llama-3.1-SuperNova-Lite
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model-index:
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- name: Tulu-3.1-8B-SuperNova
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 81.94
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name: strict accuracy
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+
source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Tulu-3.1-8B-SuperNova
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name: Open LLM Leaderboard
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+
- task:
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type: text-generation
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name: Text Generation
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+
dataset:
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name: BBH (3-Shot)
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type: BBH
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+
args:
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num_few_shot: 3
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+
metrics:
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+
- type: acc_norm
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value: 32.5
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+
name: normalized accuracy
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+
source:
|
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+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Tulu-3.1-8B-SuperNova
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name: Open LLM Leaderboard
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+
- task:
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+
type: text-generation
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+
name: Text Generation
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+
dataset:
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+
name: MATH Lvl 5 (4-Shot)
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+
type: hendrycks/competition_math
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+
args:
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+
num_few_shot: 4
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+
metrics:
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+
- type: exact_match
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+
value: 24.32
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+
name: exact match
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+
source:
|
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+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Tulu-3.1-8B-SuperNova
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name: Open LLM Leaderboard
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+
- task:
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+
type: text-generation
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+
name: Text Generation
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+
dataset:
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name: GPQA (0-shot)
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+
type: Idavidrein/gpqa
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+
args:
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+
num_few_shot: 0
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+
metrics:
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+
- type: acc_norm
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+
value: 6.94
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+
name: acc_norm
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+
source:
|
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+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Tulu-3.1-8B-SuperNova
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name: Open LLM Leaderboard
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+
- task:
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+
type: text-generation
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+
name: Text Generation
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+
dataset:
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+
name: MuSR (0-shot)
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+
type: TAUR-Lab/MuSR
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+
args:
|
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+
num_few_shot: 0
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+
metrics:
|
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+
- type: acc_norm
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+
value: 8.69
|
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+
name: acc_norm
|
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+
source:
|
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+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Tulu-3.1-8B-SuperNova
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name: Open LLM Leaderboard
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+
- task:
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+
type: text-generation
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+
name: Text Generation
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+
dataset:
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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+
config: main
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split: test
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+
args:
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num_few_shot: 5
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+
metrics:
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- type: acc
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value: 31.27
|
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+
name: accuracy
|
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+
source:
|
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+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Tulu-3.1-8B-SuperNova
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name: Open LLM Leaderboard
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+
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---
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[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
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# QuantFactory/Tulu-3.1-8B-SuperNova-GGUF
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This is quantized version of [bunnycore/Tulu-3.1-8B-SuperNova](https://huggingface.co/bunnycore/Tulu-3.1-8B-SuperNova) created using llama.cpp
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# Original Model Card
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
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### Models Merged
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The following models were included in the merge:
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* [meditsolutions/Llama-3.1-MedIT-SUN-8B](https://huggingface.co/meditsolutions/Llama-3.1-MedIT-SUN-8B)
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* [allenai/Llama-3.1-Tulu-3-8B](https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B)
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* [arcee-ai/Llama-3.1-SuperNova-Lite](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: arcee-ai/Llama-3.1-SuperNova-Lite
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parameters:
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weight: 1.0
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- model: allenai/Llama-3.1-Tulu-3-8B
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parameters:
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weight: 1.0
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- model: meditsolutions/Llama-3.1-MedIT-SUN-8B
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parameters:
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weight: 1.0
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merge_method: linear
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normalize: false
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int8_mask: true
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dtype: bfloat16
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+
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```
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_bunnycore__Tulu-3.1-8B-SuperNova)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |30.94|
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|IFEval (0-Shot) |81.94|
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|BBH (3-Shot) |32.50|
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|MATH Lvl 5 (4-Shot)|24.32|
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|GPQA (0-shot) | 6.94|
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|MuSR (0-shot) | 8.69|
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|MMLU-PRO (5-shot) |31.27|
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|