Instructions to use lovedheart/DeepSeek-V3.2-GGUF-Experimental 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 lovedheart/DeepSeek-V3.2-GGUF-Experimental 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 lovedheart/DeepSeek-V3.2-GGUF-Experimental:BF16 # Run inference directly in the terminal: llama cli -hf lovedheart/DeepSeek-V3.2-GGUF-Experimental:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf lovedheart/DeepSeek-V3.2-GGUF-Experimental:BF16 # Run inference directly in the terminal: llama cli -hf lovedheart/DeepSeek-V3.2-GGUF-Experimental:BF16
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 lovedheart/DeepSeek-V3.2-GGUF-Experimental:BF16 # Run inference directly in the terminal: ./llama-cli -hf lovedheart/DeepSeek-V3.2-GGUF-Experimental:BF16
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 lovedheart/DeepSeek-V3.2-GGUF-Experimental:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf lovedheart/DeepSeek-V3.2-GGUF-Experimental:BF16
Use Docker
docker model run hf.co/lovedheart/DeepSeek-V3.2-GGUF-Experimental:BF16
- Llama new
- LM Studio
- Jan
- Ollama
How to use lovedheart/DeepSeek-V3.2-GGUF-Experimental with Ollama:
ollama run hf.co/lovedheart/DeepSeek-V3.2-GGUF-Experimental:BF16
- Unsloth Desktop
- Docker Model Runner
How to use lovedheart/DeepSeek-V3.2-GGUF-Experimental with Docker Model Runner:
docker model run hf.co/lovedheart/DeepSeek-V3.2-GGUF-Experimental:BF16
- Lemonade
How to use lovedheart/DeepSeek-V3.2-GGUF-Experimental with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull lovedheart/DeepSeek-V3.2-GGUF-Experimental:BF16
Run and chat with the model
lemonade run user.DeepSeek-V3.2-GGUF-Experimental-BF16
List all available models
lemonade list
- Atomic Chat
Experimental only. No DeepSeek Sparse Attention supported by llama.cpp currently. So using regular attention from Deepseek V3.1
Should be working with main branch from llama.cpp.
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Model tree for lovedheart/DeepSeek-V3.2-GGUF-Experimental
Base model
deepseek-ai/DeepSeek-V3.2-Exp-Base Finetuned
deepseek-ai/DeepSeek-V3.2