Instructions to use Kebob/DeepSeek-V3-0324-IK_GGUF 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 Kebob/DeepSeek-V3-0324-IK_GGUF 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 Kebob/DeepSeek-V3-0324-IK_GGUF:IQ4_XS_R # Run inference directly in the terminal: llama cli -hf Kebob/DeepSeek-V3-0324-IK_GGUF:IQ4_XS_R
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Kebob/DeepSeek-V3-0324-IK_GGUF:IQ4_XS_R # Run inference directly in the terminal: llama cli -hf Kebob/DeepSeek-V3-0324-IK_GGUF:IQ4_XS_R
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 Kebob/DeepSeek-V3-0324-IK_GGUF:IQ4_XS_R # Run inference directly in the terminal: ./llama-cli -hf Kebob/DeepSeek-V3-0324-IK_GGUF:IQ4_XS_R
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 Kebob/DeepSeek-V3-0324-IK_GGUF:IQ4_XS_R # Run inference directly in the terminal: ./build/bin/llama-cli -hf Kebob/DeepSeek-V3-0324-IK_GGUF:IQ4_XS_R
Use Docker
docker model run hf.co/Kebob/DeepSeek-V3-0324-IK_GGUF:IQ4_XS_R
- LM Studio
- Jan
- Ollama
How to use Kebob/DeepSeek-V3-0324-IK_GGUF with Ollama:
ollama run hf.co/Kebob/DeepSeek-V3-0324-IK_GGUF:IQ4_XS_R
- Unsloth Desktop
- Docker Model Runner
How to use Kebob/DeepSeek-V3-0324-IK_GGUF with Docker Model Runner:
docker model run hf.co/Kebob/DeepSeek-V3-0324-IK_GGUF:IQ4_XS_R
- Lemonade
How to use Kebob/DeepSeek-V3-0324-IK_GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Kebob/DeepSeek-V3-0324-IK_GGUF:IQ4_XS_R
Run and chat with the model
lemonade run user.DeepSeek-V3-0324-IK_GGUF-IQ4_XS_R
List all available models
lemonade list
- Atomic Chat
ik_llama.cpp quantizations of DeepSeek-V3-0324
Quantized using ik_llama.cpp build = 3788 (4622fadc)
NOTE: These quants MUST be run using the llama.cpp fork, ik_llama.cpp
Credits to @ubergarm for his DeepSeek quant recipes for which these quants were based on.
| name | file size | quant type | bpw |
|---|---|---|---|
| DeepSeek-V3-0324-IQ4_KT | 322.355 GiB | IQ4_KT (97.5%) / Q8_0 (2.5%) |
4.127 |
| DeepSeek-V3-0324-IQ4_XS_R8 | 340.764 GiB | IQ4_XS_R8 (97.5%) / Q8_0 (2.5%) |
4.362 |
| DeepSeek-V3-0324-D-IQ4_KS_R4 | 366.762 GiB | IQ4_KS_R4 (65%) / IQ5_KS_R4 (32.5%) / Q8_0 (2.5%) |
4.695 |
| DeepSeek-V3-0324-D-Q4_K_R4 | 412.131 GiB | Q4_K_R4 (65%) / Q6_K_R4 (32.5%) / Q8_0 (2.5%) |
5.276 |
| DeepSeek-V3-0324-Q8_0_R8 | 664.295 GiB | Q8_0_R8 (100%) |
8.504 |
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Base model
deepseek-ai/DeepSeek-V3-0324