File size: 5,972 Bytes
ebaed30 3d4e61b ff66389 3d4e61b 2afd3e8 ff66389 ebaed30 3d4e61b 9d9b636 9718a71 4cb67cb 1501334 4cb67cb 1501334 4cb67cb 1501334 7d8c6e2 ade60a7 1501334 4cb67cb 9d9b636 4cb67cb 9d9b636 7d8c6e2 4cb67cb d62cca4 9d9b636 3d4e61b 9d9b636 ff66389 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 |
---
language:
- en
license: apache-2.0
tags:
- slm
- llama
- tiny
- tinyllama
datasets:
- HuggingFaceH4/ultrachat_200k
- HuggingFaceH4/ultrafeedback_binarized
metrics:
- accuracy
- bertscore
- bleu
model-index:
- name: zyte-1B
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: 37.88
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aihub-app/zyte-1B
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: 61.37
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aihub-app/zyte-1B
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: 24.61
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aihub-app/zyte-1B
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: 42.14
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aihub-app/zyte-1B
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: 61.96
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aihub-app/zyte-1B
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: 1.44
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aihub-app/zyte-1B
name: Open LLM Leaderboard
---
# Model Card for Model ID
![Zyte-1.1b Model](https://huggingface.co/aihub-app/zyte-1B/resolve/main/Zyte.png)
# Zyte-1.1b: Tiny but Mighty by **AI Hub Mobile App**
## Model Details
### Model Description
The **Zyte 1B** model is a cutting-edge advancement in AI language understanding and generation. This version is a sophisticated refinement of the acclaimed **tinyllama** model, incorporating the advanced Direct Parameter Optimization (DPO) technique. Our team at **AI Hub App** has diligently enhanced this model using state-of-the-art datasets, ensuring unparalleled performance and accuracy.
- **Developed by**: AI Hub Team
- **Model type**: TinyLlama
- **Specialization**: AI Language Understanding and Generation
The aihub-app/zyte-1.1b model represents a significant advancement in the field of AI language understanding and generation. This model is a meticulously fine-tuned version of the renowned tinyllama model, utilizing the advanced Direct Parameter Optimization (DPO) technique. Our team at AI Hub App has dedicated considerable effort to enhance this model using state-of-the-art datasets.
"<|system|> You are a helpful AI assistant.</s><|user|>{prompt}</s><|assistant|>"
Inference Code - https://huggingface.co/aihub-app/zyte-1B/blob/main/inference_zyte_1b.ipynb
### Model Card Contact
For further inquiries and detailed information, please contact us at [hello@getaihub.app](mailto:hello@getaihub.app).
## About AI Hub
AI Hub Mobile App emerges as a beacon for AI enthusiasts and professionals worldwide, serving as a comprehensive mobile platform dedicated entirely to Artificial Intelligence. It is a one-stop destination for everything AI, from the latest trends in machine learning and groundbreaking developments in deep learning to thoughtful discussions on AI ethics and data governance. The platform is designed to cater to a wide range of interests within the AI community. Whether you're delving into the intricacies of algorithmic innovations or exploring practical applications in various industries, AI Hub provides concise, insightful content that keeps you informed and engaged. Its commitment to covering all facets of the AI industry makes it an invaluable resource for anyone looking to stay abreast of this rapidly evolving field.
Install app here - https://ai-hub.app.link/install
## Model Card Contact
Stay Connected with AI Hub:
- [LinkedIn](https://www.linkedin.com/company/aihub-app/)
- [Download AI Hub App](https://ai-hub.app.link/install)
- Email: [hello@getaihub.app](mailto:hello@getaihub.app)
# [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_aihub-app__zyte-1B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |38.23|
|AI2 Reasoning Challenge (25-Shot)|37.88|
|HellaSwag (10-Shot) |61.37|
|MMLU (5-Shot) |24.61|
|TruthfulQA (0-shot) |42.14|
|Winogrande (5-shot) |61.96|
|GSM8k (5-shot) | 1.44|
|