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Model: Andycurrent/Dolphin3.0-Llama3.1-8B
Source: Original Platform

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README.md

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+---
+license: llama3.1
+language:
+- en
+base_model:
+- dphn/Dolphin3.0-Llama3.1-8B
+tags:
+- code
+- text-generation-inference
+- medical
+- uncensored
+---
+
+
+
+
+# Dolphin 3.0 – Llama 3.1 8B_GGUF
+
+This repository hosts the Quantized versions of **Dolphin 3.0 – Llama 3.1 8B** uncensored model, an instruct-tuned 8 billion-parameter model designed for versatile local use coding, general reasoning, conversational assistance, agentic workflows and more.
+
+---
+
+## Model Overview
+
+- **Model Name**: Dolphin 3.0 – Llama 3.1 8B  
+- **Base Architecture**: Meta Llama‑3.1, 8 billion parameters (8 B)  
+- **Developer / Curator**: Cognitive Computations (Curated & trained by Eric Hartford, Ben Gitter, BlouseJury)
+- **License**: Llama 3.1 License (inherits from base model)
+- **Intended Use**: General-purpose, local deployment model instruction following, conversation, coding, function-calling, agentic behaviour.
+
+---
+
+## What is Dolphin?
+
+Dolphin is a series of instruction-tuned large language models built for local use and full user control. Dolphin 3.0 aims to be the “ultimate general-purpose local model,” supporting:
+
+- Coding tasks (multiple programming languages)  
+- Mathematical reasoning  
+- Function‐calling and agentic workflows  
+- Conversational and chat-assistant scenarios  
+- Custom alignment and system-prompt steering  
+
+
+---
+
+## Chat Template & System Prompt
+
+This model uses the **ChatML** format for interactions:  
+```
+<|im_start|>system
+You are Dolphin, a helpful AI assistant.
+<|im_end|>
+<|im_start|>user
+{your prompt here}
+<|im_end|>
+<|im_start|>assistant
+```
+
+## Key Features & Capabilities
+
+- Strong instruction-following across coding, mathematics, reasoning & conversation
+- Function calling/agentic workflow support (via specified templates and runtime) 
+- Designed for local deployment, ensuring user control over alignment, prompts and data
+- Supports long context windows (depending on runtime and variant)
+- Tuned for adaptivity: deploy as coding tool, tutor, assistant, or domain-specific agent
+
+
+## Intended Use Cases
+
+- **Coding assistant** — multi-language code generation, debugging, refactoring
+- **Mathematical & scientific reasoning** — step-by-step problem solving
+- **Chat/assistant prototype** — customizable assistant for your domain
+- **Agentic workflows** — integrate function calling toolbox, tool‐use, chain-of-thought
+- **Local/private deployment** — on-premises or edge use, minimizing external data exposure
+
+
+## Acknowledgements
+
+**Special thanks to**:
+- Crusoe Cloud, Akash, Lazarus, Cerebras for hardware/training support 
+- The open-source datasets and foundational work by Meta, Qwen, OpenCoder, etc. 
+- The broader open-source community enabling deployment, quantization and local inference ecosystems.
+
+
+## Contact & Support
+- For issues, questions or community discussion: see the model’s Hugging Face discussions page: [https://huggingface.co/dphn/Dolphin3.0-Llama3.1-8B/discussions]
+- You may also join the Discord community: [https://discord.gg/cognitivecomputations]