Text Generation
Transformers
GGUF
English
deepseek_v3
deepseek
unsloth
custom_code
fp8
conversational
Instructions to use unsloth/DeepSeek-V3-0324-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unsloth/DeepSeek-V3-0324-GGUF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="unsloth/DeepSeek-V3-0324-GGUF", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("unsloth/DeepSeek-V3-0324-GGUF", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("unsloth/DeepSeek-V3-0324-GGUF", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use unsloth/DeepSeek-V3-0324-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 unsloth/DeepSeek-V3-0324-GGUF:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf unsloth/DeepSeek-V3-0324-GGUF:UD-Q4_K_XL
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf unsloth/DeepSeek-V3-0324-GGUF:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf unsloth/DeepSeek-V3-0324-GGUF:UD-Q4_K_XL
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 unsloth/DeepSeek-V3-0324-GGUF:UD-Q4_K_XL # Run inference directly in the terminal: ./llama-cli -hf unsloth/DeepSeek-V3-0324-GGUF:UD-Q4_K_XL
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 unsloth/DeepSeek-V3-0324-GGUF:UD-Q4_K_XL # Run inference directly in the terminal: ./build/bin/llama-cli -hf unsloth/DeepSeek-V3-0324-GGUF:UD-Q4_K_XL
Use Docker
docker model run hf.co/unsloth/DeepSeek-V3-0324-GGUF:UD-Q4_K_XL
- LM Studio
- Jan
- vLLM
How to use unsloth/DeepSeek-V3-0324-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "unsloth/DeepSeek-V3-0324-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "unsloth/DeepSeek-V3-0324-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/unsloth/DeepSeek-V3-0324-GGUF:UD-Q4_K_XL
- SGLang
How to use unsloth/DeepSeek-V3-0324-GGUF with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "unsloth/DeepSeek-V3-0324-GGUF" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "unsloth/DeepSeek-V3-0324-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "unsloth/DeepSeek-V3-0324-GGUF" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "unsloth/DeepSeek-V3-0324-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Ollama
How to use unsloth/DeepSeek-V3-0324-GGUF with Ollama:
ollama run hf.co/unsloth/DeepSeek-V3-0324-GGUF:UD-Q4_K_XL
- Unsloth Desktop
- Docker Model Runner
How to use unsloth/DeepSeek-V3-0324-GGUF with Docker Model Runner:
docker model run hf.co/unsloth/DeepSeek-V3-0324-GGUF:UD-Q4_K_XL
- Lemonade
How to use unsloth/DeepSeek-V3-0324-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull unsloth/DeepSeek-V3-0324-GGUF:UD-Q4_K_XL
Run and chat with the model
lemonade run user.DeepSeek-V3-0324-GGUF-UD-Q4_K_XL
List all available models
lemonade list
- Atomic Chat
IQ2_XXS optimal for me
#17 opened over 1 year ago
by
jweb
World's Largest Dataset
#16 opened over 1 year ago
by deleted
Re-converting the GGUF for MLA?
👍 6
3
#15 opened over 1 year ago
by
Silver267
What tool/framework to test gguf models?
1
#14 opened over 1 year ago
by
bobchenyx
Request: DOI
#13 opened over 1 year ago
by
jeffhoule01
How to run ollama using these new quantized weights?
👀 1
2
#12 opened over 1 year ago
by
vadimkantorov
Running Model "unsloth/DeepSeek-V3-0324-GGUF" with vLLM does not working
2
#11 opened over 1 year ago
by
puppadas
The UD-IQ2_XXS is surprisingly good, but it's good to know that it degrades gradually but significantly after about 1000 tokens.
1
#9 opened over 1 year ago
by
mmbela
671B params or 685B params?
6
#8 opened over 1 year ago
by
createthis
how to run tools use correctly
#7 opened over 1 year ago
by
rockcat-miao
How many bits of Quantization is enough for Code Generation Tasks?
1
#5 opened over 1 year ago
by
luweigen
Added IQ1_S version to Ollama
3
#4 opened over 1 year ago
by
Muhammadreza
Is the 2.51bit model using imatrix?
7
#3 opened over 1 year ago
by
daweiba12
Will you release the imatrix.dat used for the quants?
2
#2 opened over 1 year ago
by
tdh111
Would There be Dynamic Qunatized Versions like 2.51bit
8
#1 opened over 1 year ago
by
MotorBottle