AI · AI model
Dolphin 3.0
Uncensored, open-source fine-tuned LLM designed for local execution without guardrails
Dolphin 3.0 is a series of open-weight large language models fine-tuned by Eric Hartford, based on architectures such as Llama and Qwen. It strips away standard corporate alignment and censorship filters, making it compliant with any instruction. Users typically run it locally via Ollama or LM Studio for privacy and unrestricted assistance.
What it's for
- Run an unfiltered AI assistant completely offline using Ollama or LM Studio
- Generate creative writing or fiction without triggering safety refusals
- Conduct security and red-teaming research without corporate guardrail interference
- Fine-tune bespoke local agents on sensitive or specialized tasks
Features
- Uncensored dataset training removing standard alignment refusals
- Compatibility with local inference engines like Ollama, LM Studio, and llama.cpp
- Built across multiple base architectures (Llama 3.1, Llama 3.2, Qwen 2.5)
- Available in quantized formats for low-resource local hardware
- Open dataset and weight availability on Hugging Face
Pricing
Open source. Free and open source
Details
- Type
- AI model
- Category
- AI
- Topic
- Large Language Models
- Open source
- Yes
- Platforms
- Linux, macOS, Windows, Self-hosted, Command line
- For
- Developers, AI researchers, and hobbyists wanting an unfiltered local LLM
- Alternative to
- ChatGPT, Claude, Meta Llama
- Tags
- uncensored, llm, local ai, ollama, open source, llama, qwen
Why it was saved
- @okaashish: It removes corporate alignment restrictions and censorship, allowing developers to run an unfiltered assistant locally via Ollama or LM Studio without cloud subscriptions.
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