Instructions to use mmnga/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 mmnga/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 mmnga/DeepSeek-R1-Distill-Qwen-1.5B-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf mmnga/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 mmnga/DeepSeek-R1-Distill-Qwen-1.5B-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf mmnga/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 mmnga/DeepSeek-R1-Distill-Qwen-1.5B-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mmnga/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 mmnga/DeepSeek-R1-Distill-Qwen-1.5B-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mmnga/DeepSeek-R1-Distill-Qwen-1.5B-gguf:Q4_K_M
Use Docker
docker model run hf.co/mmnga/DeepSeek-R1-Distill-Qwen-1.5B-gguf:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mmnga/DeepSeek-R1-Distill-Qwen-1.5B-gguf with Ollama:
ollama run hf.co/mmnga/DeepSeek-R1-Distill-Qwen-1.5B-gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mmnga/DeepSeek-R1-Distill-Qwen-1.5B-gguf with Docker Model Runner:
docker model run hf.co/mmnga/DeepSeek-R1-Distill-Qwen-1.5B-gguf:Q4_K_M
- Lemonade
How to use mmnga/DeepSeek-R1-Distill-Qwen-1.5B-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mmnga/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
Add files using upload-large-folder tool
Browse files
.gitattributes
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---
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license: other
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language:
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- en
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- ja
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datasets:
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- TFMC/imatrix-dataset-for-japanese-llm
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---
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# DeepSeek-R1-Distill-Qwen-1.5B-gguf
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[deepseek-aiさんが公開しているDeepSeek-R1-Distill-Qwen-1.5B-gguf](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B-gguf)のggufフォーマット変換版です。
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imatrixのデータは[TFMC/imatrix-dataset-for-japanese-llm](https://huggingface.co/datasets/TFMC/imatrix-dataset-for-japanese-llm)を使用して作成しました。
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## Usage
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```
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git clone https://github.com/ggerganov/llama.cpp.git
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cd llama.cpp
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cmake -B build -DGGML_CUDA=ON
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cmake --build build --config Release
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build/bin/llama-cli -m 'DeepSeek-R1-Distill-Qwen-1.5B-gguf' -n 128 -c 128 -p 'あなたはプロの料理人です。レシピを教えて' -cnv
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```
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