---
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-1.1B
  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-1.1B
      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-1.1B
      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: 24.62
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aihub-app/zyte-1.1B
      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: 42.15
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aihub-app/zyte-1.1B
      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-1.1B
      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: 1.36
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aihub-app/zyte-1.1B
      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-1.1B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |38.22|
|AI2 Reasoning Challenge (25-Shot)|37.88|
|HellaSwag (10-Shot)              |61.37|
|MMLU (5-Shot)                    |24.62|
|TruthfulQA (0-shot)              |42.15|
|Winogrande (5-shot)              |61.96|
|GSM8k (5-shot)                   | 1.36|