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---
license: apache-2.0
tags:
- merge
- mergekit
model-index:
- name: TinyYi-7B-Test
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: 26.88
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yash21/TinyYi-7B-Test
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: 26.14
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yash21/TinyYi-7B-Test
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: 24.41
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yash21/TinyYi-7B-Test
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: 46.35
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yash21/TinyYi-7B-Test
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: 50.91
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yash21/TinyYi-7B-Test
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: 0.0
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yash21/TinyYi-7B-Test
name: Open LLM Leaderboard
---
# TinyYi-7B-Test
This model is a merge of the following models:
* [Yash21/DeepYi-Base](https://huggingface.co/Yash21/DeepYi-Base)
* [Yash21/DeepYi-Second](https://huggingface.co/Yash21/DeepYi-Second)
## 🧩 Configuration
```yaml
slices:
- sources:
- model: Yash21/DeepYi-Base
layer_range: [0, 32]
- model: Yash21/DeepYi-Second
layer_range: [0, 32]
merge_method: slerp
base_model: Yash21/DeepYi-Base
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
```
Please Reach Out to maratheyash108@gmail.com if you want to support me to Fine tune the models and create more such exciting models
# [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_Yash21__TinyYi-7B-Test)
| Metric |Value|
|---------------------------------|----:|
|Avg. |29.11|
|AI2 Reasoning Challenge (25-Shot)|26.88|
|HellaSwag (10-Shot) |26.14|
|MMLU (5-Shot) |24.41|
|TruthfulQA (0-shot) |46.35|
|Winogrande (5-shot) |50.91|
|GSM8k (5-shot) | 0.00|
|