Instructions to use skymizer/DeepSeek-R1-Distill-Qwen-1.5B-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 skymizer/DeepSeek-R1-Distill-Qwen-1.5B-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 skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf skymizer/DeepSeek-R1-Distill-Qwen-1.5B-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 skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf skymizer/DeepSeek-R1-Distill-Qwen-1.5B-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 skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf skymizer/DeepSeek-R1-Distill-Qwen-1.5B-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 skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF with Ollama:
ollama run hf.co/skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF with Docker Model Runner:
docker model run hf.co/skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M
- Lemonade
How to use skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull skymizer/DeepSeek-R1-Distill-Qwen-1.5B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.DeepSeek-R1-Distill-Qwen-1.5B-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
These models are converted from deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B with llama.cpp. These models contain biases in both q_proj and k_proj layers.
The bf16, f16 models are converted with llama.cpp in branch b4514, because the latest main branch of llama.cpp failed to convert the hf model into GGUF format (2025/7/28).
Both of them can be evaluated with latest llama.cpp via ./build/bin/llama-perplexity. However, when we evaluate the bf16, f16 model with lighteval in vllm, it seems fail to load the model correctly. (2025/8/5)
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