metadata
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
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]