UTENA-7B-V3 / README.md
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Adding Evaluation Results (#2)
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---
license: unlicense
tags:
- merge
- mergekit
- lazymergekit
- AI-B/UTENA-7B-UNA-V2
- AI-B/UTENA-7B-NSFW-V2
model-index:
- name: UTENA-7B-V3
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 65.96
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AI-B/UTENA-7B-V3
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 85.7
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AI-B/UTENA-7B-V3
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 64.72
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AI-B/UTENA-7B-V3
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 53.64
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AI-B/UTENA-7B-V3
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 80.27
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AI-B/UTENA-7B-V3
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 54.21
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AI-B/UTENA-7B-V3
name: Open LLM Leaderboard
---
# UTENA-7B-V3
UTENA-7B-V3 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [AI-B/UTENA-7B-UNA-V2](https://huggingface.co/AI-B/UTENA-7B-UNA-V2)
* [AI-B/UTENA-7B-NSFW-V2](https://huggingface.co/AI-B/UTENA-7B-NSFW-V2)
## 🧩 Configuration
```yaml
slices:
- sources:
- model: AI-B/UTENA-7B-UNA-V2
layer_range: [0, 32]
- model: AI-B/UTENA-7B-NSFW-V2
layer_range: [0, 32]
merge_method: slerp
base_model: AI-B/UTENA-7B-UNA-V2
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
```
## Quanitized Models
[UTENA-7B-V3-GGUF](https://huggingface.co/s3nh/UTENA-7B-V3-GGUF)
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_AI-B__UTENA-7B-V3)
| Metric |Value|
|---------------------------------|----:|
|Avg. |67.42|
|AI2 Reasoning Challenge (25-Shot)|65.96|
|HellaSwag (10-Shot) |85.70|
|MMLU (5-Shot) |64.72|
|TruthfulQA (0-shot) |53.64|
|Winogrande (5-shot) |80.27|
|GSM8k (5-shot) |54.21|