Transformers
Safetensors
GGUF
English
llama
text-generation-inference
unsloth
trl
sft
conversational
Instructions to use geradeluxer/DeepSeek-R1-Distill-Llama-8B-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use geradeluxer/DeepSeek-R1-Distill-Llama-8B-python with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("geradeluxer/DeepSeek-R1-Distill-Llama-8B-python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use geradeluxer/DeepSeek-R1-Distill-Llama-8B-python 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 geradeluxer/DeepSeek-R1-Distill-Llama-8B-python:Q4_K_M # Run inference directly in the terminal: llama cli -hf geradeluxer/DeepSeek-R1-Distill-Llama-8B-python:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf geradeluxer/DeepSeek-R1-Distill-Llama-8B-python:Q4_K_M # Run inference directly in the terminal: llama cli -hf geradeluxer/DeepSeek-R1-Distill-Llama-8B-python: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 geradeluxer/DeepSeek-R1-Distill-Llama-8B-python:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf geradeluxer/DeepSeek-R1-Distill-Llama-8B-python: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 geradeluxer/DeepSeek-R1-Distill-Llama-8B-python:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf geradeluxer/DeepSeek-R1-Distill-Llama-8B-python:Q4_K_M
Use Docker
docker model run hf.co/geradeluxer/DeepSeek-R1-Distill-Llama-8B-python:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use geradeluxer/DeepSeek-R1-Distill-Llama-8B-python with Ollama:
ollama run hf.co/geradeluxer/DeepSeek-R1-Distill-Llama-8B-python:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use geradeluxer/DeepSeek-R1-Distill-Llama-8B-python with Docker Model Runner:
docker model run hf.co/geradeluxer/DeepSeek-R1-Distill-Llama-8B-python:Q4_K_M
- Lemonade
How to use geradeluxer/DeepSeek-R1-Distill-Llama-8B-python with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull geradeluxer/DeepSeek-R1-Distill-Llama-8B-python:Q4_K_M
Run and chat with the model
lemonade run user.DeepSeek-R1-Distill-Llama-8B-python-Q4_K_M
List all available models
lemonade list
- Atomic Chat
- Xet hash:
- 71e9d15af3f0369294cd620ac32ecd3920b1c8dd41416457d98587de0a772be9
- Size of remote file:
- 17.2 MB
- SHA256:
- d91915040cfac999d8c55f4b5bc6e67367c065e3a7a4e4b9438ce1f256addd86
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.