Instructions to use smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF",
	filename="DeepSeek-R1-Distill-Qwen-7B-Q3_K_M.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use smarttasks/DeepSeek-R1-Distill-Qwen-7B-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 smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf smarttasks/DeepSeek-R1-Distill-Qwen-7B-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 smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf smarttasks/DeepSeek-R1-Distill-Qwen-7B-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 smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf smarttasks/DeepSeek-R1-Distill-Qwen-7B-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 smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M

Ollama
How to use smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF with Ollama:
```
ollama run hf.co/smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M
```

Unsloth Studio

How to use smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF with Docker Model Runner:
```
docker model run hf.co/smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M
```

Lemonade

How to use smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull smarttasks/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.DeepSeek-R1-Distill-Qwen-7B-GGUF-Q4_K_M

List all available models

lemonade list

DeepSeek-R1-Distill-Qwen-7B-GGUF / MANIFEST.json

roenb

Upload folder using huggingface_hub

40899be verified about 15 hours ago

Raw

History Blame Contribute Delete

3.15 kB

	{
	"schema": "smarttasks.repo_manifest/v1",
	"generated_utc": "2026-07-14T18:38:33+00:00",
	"root": "DeepSeek-R1-Distill-Qwen-7B-GGUF",
	"file_count": 10,
	"risk_finding_count": 0,
	"classes_present": [
	"binary",
	"contextual",
	"ingestible",
	"model"
	],
	"agent_prefilter_hint": {
	"load": [
	"contextual",
	"ingestible"
	],
	"runtime_only": [
	"model"
	],
	"never_auto_execute": [
	"executable"
	],
	"quarantine": [
	"sensitive"
	]
	},
	"files": [
	{
	"path": ".gitattributes",
	"bytes": 43,
	"content_class": "binary",
	"ingest_policy": "skip",
	"sha256": "4cf00e98dded8779b234ba8d2356ce03ef5360f69632bd81f0f10c4c944b89d9",
	"risk_findings": []
	},
	{
	"path": "DeepSeek-R1-Distill-Qwen-7B-Q3_K_M.gguf",
	"bytes": 3808390976,
	"content_class": "model",
	"ingest_policy": "runtime_only",
	"sha256": "f60f53d8c208cb01c5c51231d34b7e03264f3b0a77055105cece2de97f6872ad",
	"risk_findings": []
	},
	{
	"path": "DeepSeek-R1-Distill-Qwen-7B-Q4_K_M.gguf",
	"bytes": 4683073344,
	"content_class": "model",
	"ingest_policy": "runtime_only",
	"sha256": "5b2cc9d57f4368ea6d3fbd0dcd8bce811eddc473cec2b72e55d02132dc6afcfe",
	"risk_findings": []
	},
	{
	"path": "DeepSeek-R1-Distill-Qwen-7B-Q5_K_M.gguf",
	"bytes": 5444831040,
	"content_class": "model",
	"ingest_policy": "runtime_only",
	"sha256": "b5dd6a089114d2054bf4a633bc7da578462ea258bae1bf6924b625a46b873cab",
	"risk_findings": []
	},
	{
	"path": "DeepSeek-R1-Distill-Qwen-7B-Q6_K.gguf",
	"bytes": 6254198592,
	"content_class": "model",
	"ingest_policy": "runtime_only",
	"sha256": "37ece48d44043a3f40b5df5c20418a7f026bccc5ba49f6a9c71e12717b038855",
	"risk_findings": []
	},
	{
	"path": "DeepSeek-R1-Distill-Qwen-7B-Q8_0.gguf",
	"bytes": 8098524992,
	"content_class": "model",
	"ingest_policy": "runtime_only",
	"sha256": "bbecded6e2832d8f7997a2f6be79ba8654ccdb71094b58370f3d0aa9c4cac4c4",
	"risk_findings": []
	},
	{
	"path": "README.md",
	"bytes": 12465,
	"content_class": "contextual",
	"ingest_policy": "load_as_context",
	"sha256": "5da28a57ac5d52a32b1fcacb1cf983e9e35e36a550e0f8babbe6caba37cf7266",
	"risk_findings": []
	},
	{
	"path": "SECURITY.md",
	"bytes": 2036,
	"content_class": "contextual",
	"ingest_policy": "load_as_context",
	"sha256": "68042869980b9d4e7342c431e4b238610f44ae66a5aee2ba8950b245884d89ba",
	"risk_findings": []
	},
	{
	"path": "SHA256SUMS",
	"bytes": 526,
	"content_class": "binary",
	"ingest_policy": "skip",
	"sha256": "110a343832894fd0faf54fc734c46ec92e55ed37153ca532608723cc9ac88a83",
	"risk_findings": []
	},
	{
	"path": "scorecard.json",
	"bytes": 11607,
	"content_class": "ingestible",
	"ingest_policy": "load_structured",
	"sha256": "7f13d28a91980103fd29dc39b709395ccb46f56b0ca2075f196e2b04e4555420",
	"risk_findings": []
	}
	]
	}