Instructions to use bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF",
	filename="DeepSeek-R1-Distill-Qwen-14B-IQ2_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 bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf bartowski/DeepSeek-R1-Distill-Qwen-14B-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 bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf bartowski/DeepSeek-R1-Distill-Qwen-14B-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 bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bartowski/DeepSeek-R1-Distill-Qwen-14B-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": "bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF:Q4_K_M

Ollama
How to use bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF with Ollama:
```
ollama run hf.co/bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF:Q4_K_M
```

Unsloth Studio

How to use bartowski/DeepSeek-R1-Distill-Qwen-14B-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 bartowski/DeepSeek-R1-Distill-Qwen-14B-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 bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF to start chatting

Docker Model Runner
How to use bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF with Docker Model Runner:
```
docker model run hf.co/bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF:Q4_K_M
```

Lemonade

How to use bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.DeepSeek-R1-Distill-Qwen-14B-GGUF-Q4_K_M

List all available models

lemonade list

nie działa?

by jacek2024 - opened Jan 21, 2025

Discussion

jacek2024

Jan 21, 2025

Jak używasz tego modelu? Sprawdzałem text-generation-webui oraz koboldcpp, w żadnym się nie wczytuje. Widzę, że na llama.cpp jest w issues wsparcie do tego dopiero.

TooShy

Jan 28, 2025

I've got the same issue, it just doesn't load.

19:21:56-731601 INFO Loading "DeepSeek-R1-Distill-Qwen-14B-Q8_0.gguf"
19:21:57-055526 INFO llama.cpp weights detected: "models\DeepSeek-R1-Distill-Qwen-14B-Q8_0.gguf"
llama_model_load_from_file: using device CUDA0 (NVIDIA GeForce RTX 4070 Ti SUPER) - 15089 MiB free
llama_model_load: error loading model: tensor 'blk.46.ffn_gate.weight' data is not within the file bounds, model is corrupted or incomplete
llama_model_load_from_file: failed to load model
19:21:57-108380 ERROR Failed to load the model.
Traceback (most recent call last):
File "X:\Ai\Text-Generation-Webui\modules\ui_model_menu.py", line 214, in load_model_wrapper
shared.model, shared.tokenizer = load_model(selected_model, loader)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "X:\Ai\Text-Generation-Webui\modules\models.py", line 90, in load_model
output = load_func_maploader
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "X:\Ai\Text-Generation-Webui\modules\models.py", line 280, in llamacpp_loader
model, tokenizer = LlamaCppModel.from_pretrained(model_file)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "X:\Ai\Text-Generation-Webui\modules\llamacpp_model.py", line 111, in from_pretrained
result.model = Llama(**params)
^^^^^^^^^^^^^^^
File "X:\Ai\Text-Generation-Webui\installer_files\env\Lib\site-packages\llama_cpp_cuda_tensorcores\llama.py", line 369, in init
internals.LlamaModel(
File "X:\Ai\Text-Generation-Webui\installer_files\env\Lib\site-packages\llama_cpp_cuda_tensorcores_internals.py", line 56, in init
raise ValueError(f"Failed to load model from file: {path_model}")
ValueError: Failed to load model from file: models\DeepSeek-R1-Distill-Qwen-14B-Q8_0.gguf

Exception ignored in: <function LlamaCppModel.__del__ at 0x000001E5804FF920>
Traceback (most recent call last):
File "X:\Ai\Text-Generation-Webui\modules\llamacpp_model.py", line 62, in del
del self.model
^^^^^^^^^^
AttributeError: 'LlamaCppModel' object has no attribute 'model'

bartowski

Owner Jan 28, 2025

Text generation webui relies on llama-cpp-python which hasn't been updated to support the DeepSeek distills yet

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