Add Asch 0.1 model files with image-text-to-text description
Browse files- README.md +49 -0
- config.json +13 -0
README.md
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---
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license: cc-by-nc-4.0
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language:
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- en
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pipeline_tag: image-text-to-text
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tags:
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- vision
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- multimodal
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- reasoning
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base_model: tbd
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---
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# Asch 0.1
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An experimental image-text-to-text model by OceanirAI.
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## What is this?
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Asch 0.1 is an image-text-to-text model - you give it an image and text, and it generates text responses based on what it sees. Think of it as a vision-language model that can look at images and answer questions about them, describe what's happening, or help you understand visual content.
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## Model Overview
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ASCH is a compact, efficient vision-language model designed for advanced reasoning and multimodal understanding.
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### Key Features
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- Hybrid Reasoning: Structured thinking traces for multi-step decisions
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- Perceptive Tool Calling: Focus system with zoom and crop capabilities
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- Structured Outputs: Reliable JSON generation
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- Advanced OCR: Text recognition in challenging conditions
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- UI Understanding: Optimized for desktop and mobile interfaces
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- Edge-Optimized: Efficient architecture for resource-constrained devices
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## Model Details
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- Model Type: Vision-Language Model (Image-Text-to-Text)
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- Parameters: ~2B
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- Architecture: Transformer-based hybrid model
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- License: CC-BY-NC-4.0
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- Developed by: OceanirAI
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## Usage
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Coming soon - model under development.
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## Contact
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- Organization: OceanirAI
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- GitHub: github.com/Oceanir
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config.json
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{
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"architectures": [
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"ASCHForCausalLM"
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],
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"model_type": "asch",
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"torch_dtype": "float16",
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"transformers_version": "4.40.0",
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"vocab_size": 151936,
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"hidden_size": 2048,
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"num_hidden_layers": 24,
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"num_attention_heads": 16,
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"max_position_embeddings": 8192
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}
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