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

Libraries

How to use TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau",
	filename="R1-Distill-Qwen-14B-Roblox-Luau-F16.gguf",
)

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

Inference
Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau with llama.cpp:

Install from brew

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

Install from WinGet (Windows)

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

Use Docker

docker model run hf.co/TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau:Q4_K_M

LM Studio
Jan

vLLM

How to use TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau:Q4_K_M

Ollama
How to use TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau with Ollama:
```
ollama run hf.co/TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau:Q4_K_M
```

Unsloth Studio new

How to use TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau 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 TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau 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 TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau to start chatting

Using HuggingFace Spaces for Unsloth

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

Docker Model Runner
How to use TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau with Docker Model Runner:
```
docker model run hf.co/TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau:Q4_K_M
```

Lemonade

How to use TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau:Q4_K_M

Run and chat with the model

lemonade run user.R1-Distill-Qwen-14B-Roblox-Luau-Q4_K_M

List all available models

lemonade list

Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

R1-Distill-Qwen-14B-Roblox-Luau

A fine tune of deepseek-ai/DeepSeek-R1-Distill-Qwen-14B using boatbomber/roblox-info-dump and boatbomber/the-luau-stack for Roblox domain knowledge.

Recommended inference settings:

Parameter	Value	Notes
System Prompt	`You are an expert Roblox developer and Luau software engineer.`	Model was fine tuned with this prompt.
temperature	`0.5-0.7`	Underlying R1 Distill uses this. I've found best results with `0.55`.
top_p	`0.95`	Underlying R1 Distill uses this.

Quantization done using Unsloth.

Available quants:

Quant	Size	Notes
F16	29.55GB	Retains 100% accuracy. Slow and memory hungry.
Q8_O	15.70GB	High resource use, but generally acceptable. Use when accuracy is crucial.
Q6_K	12.12GB	Uses Q6_K for all tensors. Good for high end GPUs.
Q5_K_M	10.51GB	Recommended. Uses Q6_K for half of the attention.wv and feed_forward.w2 tensors, else Q5_K
Q4_K_M	8.99GB	Recommended. Uses Q6_K for half of the attention.wv and feed_forward.w2 tensors, else Q4_K
Q3_K_M	7.34GB	Uses Q4_K for the attention.wv, attention.wo, and feed_forward.w2 tensors, else Q3_K. Quality is noticeably degraded.

Downloads last month: 1,097

Safetensors

Model size

15B params

Tensor type

F32

Model tree for TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau

Base model

deepseek-ai/DeepSeek-R1-Distill-Qwen-14B

Finetuned

(82)

this model

Quantizations

1 model

TorpedoSoftware
/

R1-Distill-Qwen-14B-Roblox-Luau

R1-Distill-Qwen-14B-Roblox-Luau

Model tree for TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau

Dataset used to train TorpedoSoftware/R1-Distill-Qwen-14B-Roblox-Luau