Instructions to use eaddario/DeepSeek-R1-Distill-Llama-8B-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 eaddario/DeepSeek-R1-Distill-Llama-8B-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 eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF:Q4_K_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 eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF:Q4_K_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 eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "eaddario/DeepSeek-R1-Distill-Llama-8B-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": "eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF:Q4_K_M
- Ollama
How to use eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF with Ollama:
ollama run hf.co/eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF with Docker Model Runner:
docker model run hf.co/eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF:Q4_K_M
- Lemonade
How to use eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull eaddario/DeepSeek-R1-Distill-Llama-8B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.DeepSeek-R1-Distill-Llama-8B-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
File size: 1,069 Bytes
afa61ba 6fcfa91 afa61ba 6fcfa91 4a6a053 afa61ba 6fcfa91 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | ====== Perplexity statistics ======
Mean PPL(Q) : 15.685298 ± 0.134793
Mean PPL(base) : 13.052024 ± 0.108483
Cor(ln(PPL(Q)), ln(PPL(base))): 94.79%
Mean ln(PPL(Q)/PPL(base)) : 0.183781 ± 0.002743
Mean PPL(Q)/PPL(base) : 1.201752 ± 0.003296
Mean PPL(Q)-PPL(base) : 2.633274 ± 0.047077
====== KL divergence statistics ======
Mean KLD: 0.321187 ± 0.001430
Maximum KLD: 14.773328
99.9% KLD: 5.503292
99.0% KLD: 2.638079
99.0% KLD: 2.638079
Median KLD: 0.153902
10.0% KLD: 0.003752
5.0% KLD: 0.000800
1.0% KLD: 0.000074
Minimum KLD: -0.000003
====== Token probability statistics ======
Mean Δp: -2.283 ± 0.039 %
Maximum Δp: 98.523%
99.9% Δp: 67.160%
99.0% Δp: 35.229%
95.0% Δp: 16.196%
90.0% Δp: 8.554%
75.0% Δp: 0.886%
Median Δp: -0.042%
25.0% Δp: -3.441%
10.0% Δp: -15.597%
5.0% Δp: -27.773%
1.0% Δp: -61.892%
0.1% Δp: -92.942%
Minimum Δp: -99.982%
RMS Δp : 14.828 ± 0.069 %
Same top p: 75.915 ± 0.113 %
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