Instructions to use AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched:IQ2_M # Run inference directly in the terminal: llama cli -hf AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched:IQ2_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched:IQ2_M # Run inference directly in the terminal: llama cli -hf AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched:IQ2_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched:IQ2_M # Run inference directly in the terminal: ./llama-cli -hf AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched:IQ2_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched:IQ2_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched:IQ2_M
Use Docker
docker model run hf.co/AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched:IQ2_M
- LM Studio
- Jan
- vLLM
How to use AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched:IQ2_M
- Ollama
How to use AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched with Ollama:
ollama run hf.co/AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched:IQ2_M
- Unsloth Studio
How to use AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched to start chatting
- Docker Model Runner
How to use AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched with Docker Model Runner:
docker model run hf.co/AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched:IQ2_M
- Lemonade
How to use AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AIOpsInSpace/Dolphin3.0-R1-Mistral-24B-Patched:IQ2_M
Run and chat with the model
lemonade run user.Dolphin3.0-R1-Mistral-24B-Patched-IQ2_M
List all available models
lemonade list
- Atomic Chat
Update README.md
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base_model: cognitivecomputations/Dolphin3.0-Mistral-24B
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tags:
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- text-generation
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- gguf
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- uncensored
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- reasoning
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- dolphin
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license: apache-2.0
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language:
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<div style="font-family: 'JetBrains Mono', 'Fira Code', 'Roboto Mono', Consolas, monospace; max-width: 850px; margin: 0 auto 30px auto; padding: 20px; background: #050505; border-left: 4px solid #2563eb; border-right: 4px solid #dc2626; box-shadow: 0 0 15px rgba(124, 58, 237, 0.1); text-align: center;">
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<p style="margin: 0; font-size: 16px; font-weight: 800; text-transform: uppercase; letter-spacing: 1.5px; line-height: 2; text-shadow: 0 0 15px rgba(0,0,0,0.8);">
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<div style="border: 1px dashed #3f3f46; border-radius: 4px; padding: 20px; background: #050505; font-size: 12px; color: #71717a; font-family: 'JetBrains Mono', monospace; line-height: 1.6;">
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<b style="color: #ef4444;">Disclaimer:</b> Dolphin3.0-R1-Mistral-24B-Patched is provided for research and sovereign local deployment. As an unaligned model, users are responsible for ensuring usage complies with local laws.<br><br>
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<b style="color: #a78bfa;">Credits:</b> Gratitude to original base model authors (cognitivecomputations/Dolphin3.0-Mistral-24B) and open-source AI community tools.
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---
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base_model: cognitivecomputations/Dolphin3.0-Mistral-24B
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tags:
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- text-generation
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- gguf
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- uncensored
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- reasoning
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- dolphin
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- mistral
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- r1
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license: apache-2.0
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language:
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- en
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- tr
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pipeline_tag: text-generation
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---
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<div style="font-family: 'JetBrains Mono', 'Fira Code', 'Roboto Mono', Consolas, monospace; max-width: 850px; margin: 0 auto 30px auto; padding: 20px; background: #050505; border-left: 4px solid #2563eb; border-right: 4px solid #dc2626; box-shadow: 0 0 15px rgba(124, 58, 237, 0.1); text-align: center;">
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<p style="margin: 0; font-size: 16px; font-weight: 800; text-transform: uppercase; letter-spacing: 1.5px; line-height: 2; text-shadow: 0 0 15px rgba(0,0,0,0.8);">
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<div style="border: 1px dashed #3f3f46; border-radius: 4px; padding: 20px; background: #050505; font-size: 12px; color: #71717a; font-family: 'JetBrains Mono', monospace; line-height: 1.6;">
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<b style="color: #ef4444;">Disclaimer:</b> Dolphin3.0-R1-Mistral-24B-Patched is provided for research and sovereign local deployment. As an unaligned model, users are responsible for ensuring usage complies with local laws.<br><br>
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<b style="color: #a78bfa;">Credits:</b> Gratitude to original base model authors (cognitivecomputations/Dolphin3.0-Mistral-24B) and open-source AI community tools.
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</div>
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