Instructions to use Thox-ai/ThoxMini-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Thox-ai/ThoxMini-3B with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-3B-Instruct")
model = PeftModel.from_pretrained(base_model, "Thox-ai/ThoxMini-3B")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Thox-ai/ThoxMini-3B 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 Thox-ai/ThoxMini-3B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Thox-ai/ThoxMini-3B:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Thox-ai/ThoxMini-3B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Thox-ai/ThoxMini-3B:Q4_K_M

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf Thox-ai/ThoxMini-3B:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf Thox-ai/ThoxMini-3B:Q4_K_M

Use Docker

docker model run hf.co/Thox-ai/ThoxMini-3B:Q4_K_M

Llama new
LM Studio
Jan

vLLM

How to use Thox-ai/ThoxMini-3B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Thox-ai/ThoxMini-3B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Thox-ai/ThoxMini-3B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Thox-ai/ThoxMini-3B:Q4_K_M

Ollama
How to use Thox-ai/ThoxMini-3B with Ollama:
```
ollama run hf.co/Thox-ai/ThoxMini-3B:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use Thox-ai/ThoxMini-3B with Docker Model Runner:
```
docker model run hf.co/Thox-ai/ThoxMini-3B:Q4_K_M
```

Lemonade

How to use Thox-ai/ThoxMini-3B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Thox-ai/ThoxMini-3B:Q4_K_M

Run and chat with the model

lemonade run user.ThoxMini-3B-Q4_K_M

List all available models

lemonade list

Atomic Chat

ThoxMini-3B / tokenizer.json

tommytracx

Upload folder using huggingface_hub

0b18c1d verified 4 months ago

History Blame Contribute Delete

17.2 MB

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:: 2e56cad9ac2a38f4b7de211953881b613c19e51838c05adf8f7984c139c2e8f5
Size of remote file:: 17.2 MB
SHA256:: 6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b

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