Instructions to use ArRENCEAI/DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use ArRENCEAI/DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED 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 ArRENCEAI/DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ArRENCEAI/DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ArRENCEAI/DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ArRENCEAI/DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED: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 ArRENCEAI/DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf ArRENCEAI/DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED: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 ArRENCEAI/DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ArRENCEAI/DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED:Q4_K_M

Use Docker

docker model run hf.co/ArRENCEAI/DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED:Q4_K_M

LM Studio
Jan
Ollama
How to use ArRENCEAI/DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED with Ollama:
```
ollama run hf.co/ArRENCEAI/DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use ArRENCEAI/DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED with Docker Model Runner:
```
docker model run hf.co/ArRENCEAI/DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED:Q4_K_M
```

Lemonade

How to use ArRENCEAI/DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ArRENCEAI/DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED:Q4_K_M

Run and chat with the model

lemonade run user.DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED-Q4_K_M

List all available models

lemonade list

Atomic Chat

DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED / DeepSeek-R1-Distill-Qwen-1.5B-OBLITERATED-Q5_K_M.gguf

ArRENCEAI

Upload folder using huggingface_hub

53672df verified 25 days ago

Download

History Blame GGUF Editor new Delete

1.29 GB

This file is stored with Xet . It is too big to display, but you can still download it.

Xet Pointer Details

( Raw pointer file )

Xet hash:: 6b54a19c5825d313cfb9b603b17c89843732b5b27aad5de475f581656220c154
Size of remote file:: 1.29 GB
SHA256:: bd90a2f163a31c418e68daee3c05b61fc76e3009eaa9151d706217e0ce3313c5

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.