Instructions to use itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-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 itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF:F16

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 itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF:F16
# Run inference directly in the terminal:
./llama-cli -hf itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF:F16

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 itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF:F16

Use Docker

docker model run hf.co/itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF:F16

LM Studio
Jan
Ollama
How to use itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF with Ollama:
```
ollama run hf.co/itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF:F16
```
Unsloth Desktop
Docker Model Runner
How to use itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF with Docker Model Runner:
```
docker model run hf.co/itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF:F16
```

Lemonade

How to use itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull itachi3939/DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF:F16

Run and chat with the model

lemonade run user.DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF-F16

List all available models

lemonade list

Atomic Chat

DeepSeek-R1-Medical-COT-Qwen-1.5B-16bit-GGUF / unsloth.F16.gguf

itachi3939

(Trained with Unsloth)

f8b74f4 verified over 1 year ago

Download

History Blame GGUF Editor new Delete

3.56 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:: d06f5feb3cecd11cd8c0aa08475ade6b42dfd85fd4d0a1b129993e0d2fe7e070
Size of remote file:: 3.56 GB
SHA256:: 4117d5a271fdbcfa9a43efb4472381cbbda18329a0d1363096aa6bc88bee4bcb

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