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  ---
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- language:
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- - en
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- library_name: transformers
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- license: mit
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- tags:
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- - coding
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- - ui
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- - chat
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- - math
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- - factual
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- - agent
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- datasets:
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- - hotboxxgenn/mix-openhermes-openorca-platypus-airoboros-chatalpaca-opencode
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- - microsoft/rStar-Coder
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- - ed001/ds-coder-instruct-v1
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- - bigcode/starcoderdata
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- - bigcode/starcoder2data-extras
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- - codeparrot/self-instruct-starcoder
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- - mrtoy/mobile-ui-design
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- - YashJain/UI-Elements-Detection-Dataset
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- - tecky-tech/Tecky-UI-Elements-VLM
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- - Tesslate/UIGEN-T2
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- - FineWeb
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- - OpenWebMath
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- - UltraChat
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- - WizardCoderData
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- base_model:
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- - mistralai/Mixtral-8x7B-v0.1
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- - OpenBuddy/openbuddy-openllama-7b-v12-bf16
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- - HuggingFaceH4/mistral-7b-grok
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- - togethercomputer/RedPajama-INCITE-7B-Chat
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  ---
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- # ๐Ÿง  UltraCode UI Chatbot (v1.1)
 
 
 
 
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- **UltraCode** is a multi-skill conversational AI designed for **coding**, **UI generation**, **math reasoning**, and **factual grounding**.
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- It merges top open-source instruction datasets to deliver a balanced, high-utility assistant suitable for developers, designers, and learners.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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- ## ๐Ÿš€ Skills
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- - ๐Ÿ’ป **Coding:** Python, C#, JavaScript, React, Tailwind, API generation
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- - ๐ŸŽจ **UI Generation:** Responsive layouts, component design, mobile UI
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- - ๐Ÿ’ฌ **Conversational Flair:** Engaging and context-aware
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- - ๐Ÿงฎ **Math Reasoning:** Solves equations and explains steps
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- - ๐ŸŒ **Factual Grounding:** Improves accuracy and reduces hallucination
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  ---
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- ## ๐Ÿงฉ
 
 
 
 
 
 
 
 
 
 
 
 
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+ # ๐Ÿซ BerryAI
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+
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+ BerryAI is a multimodal, coding-focused chatbot trained on a mixture of conversational, coding, UI design, and math reasoning datasets.
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+ It blends creative dialogue with factual accuracy and programming skill.
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+
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  ---
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+
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+ ## ๐Ÿš€ Features
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+ - ๐Ÿ’ฌ Conversational: Fine-tuned with UltraChat for engaging responses
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+ - ๐Ÿง  Smart: FineWeb improves general knowledge
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+ - ๐Ÿงฎ Reasoning: OpenWebMath for step-by-step logic
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+ - ๐Ÿ’ป Coder: WizardCoderData, StarCoderData, and DS-Coder-Instruct for deeper programming skill
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+ - ๐ŸŽจ UI Genius: Trained on multiple UI/UX datasets for design insights
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+
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ ## ๐Ÿงฐ Base Models
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+ - `mistralai/Mixtral-8x7B-v0.1`
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+ - `OpenBuddy/openbuddy-openllama-7b-v12-bf16`
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+ - `HuggingFaceH4/mistral-7b-grok`
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+ - `togethercomputer/RedPajama-INCITE-7B-Chat`
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+ ---
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+
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+ ## ๐Ÿ“š Datasets
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+ - hotboxxgenn/mix-openhermes-openorca-platypus-airoboros-chatalpaca-opencode
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+ - microsoft/rStar-Coder
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+ - ed001/ds-coder-instruct-v1
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+ - bigcode/starcoderdata
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+ - bigcode/starcoder2data-extras
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+ - codeparrot/self-instruct-starcoder
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+ - mrtoy/mobile-ui-design
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+ - YashJain/UI-Elements-Detection-Dataset
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+ - tecky-tech/Tecky-UI-Elements-VLM
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+ - Tesslate/UIGEN-T2
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+ - FineWeb
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+ - OpenWebMath
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+ - UltraChat
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+ - WizardCoderData
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  ---
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+ ## ๐Ÿง  Capabilities
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+ โœ… Coding (Python, C#, JavaScript)
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+ โœ… UI Design Advice (Mobile / Web)
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+ โœ… Conversational + Creative Writing
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+ โœ… Factual Knowledge
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+ โœ… Math & Logic Reasoning
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  ---
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+ ## โšก Usage
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+ ```python
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+
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+ model_id = "hotboxxgenn/BerryAI"
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+ tokenizer = AutoTokenizer.from_pretrained(model_id)
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+ model = AutoModelForCausalLM.from_pretrained(model_id)
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+
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+ prompt = "Write a C# function that scrapes titles from a webpage."
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+ inputs = tokenizer(prompt, return_tensors="pt")
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+ outputs = model.generate(**inputs, max_new_tokens=250)
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+ print(tokenizer.decode(outputs[0], skip_special_tokens=True))