Instructions to use regularpooria/Trix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use regularpooria/Trix with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="regularpooria/Trix",
	filename="Trix-270M.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 regularpooria/Trix 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 regularpooria/Trix
# Run inference directly in the terminal:
llama cli -hf regularpooria/Trix

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf regularpooria/Trix
# Run inference directly in the terminal:
llama cli -hf regularpooria/Trix

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 regularpooria/Trix
# Run inference directly in the terminal:
./llama-cli -hf regularpooria/Trix

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 regularpooria/Trix
# Run inference directly in the terminal:
./build/bin/llama-cli -hf regularpooria/Trix

Use Docker

docker model run hf.co/regularpooria/Trix

LM Studio
Jan

vLLM

How to use regularpooria/Trix with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/regularpooria/Trix

Ollama
How to use regularpooria/Trix with Ollama:
```
ollama run hf.co/regularpooria/Trix
```

Unsloth Studio

How to use regularpooria/Trix 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 regularpooria/Trix 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 regularpooria/Trix to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for regularpooria/Trix to start chatting

Atomic Chat new
Docker Model Runner
How to use regularpooria/Trix with Docker Model Runner:
```
docker model run hf.co/regularpooria/Trix
```

Lemonade

How to use regularpooria/Trix with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull regularpooria/Trix

Run and chat with the model

lemonade run user.Trix-{{QUANT_TAG}}

List all available models

lemonade list

Trix

File size: 713 Bytes

03c7f8d

{
  "backend": "tokenizers",
  "boi_token": "<start_of_image>",
  "bos_token": "<bos>",
  "clean_up_tokenization_spaces": false,
  "eoi_token": "<end_of_image>",
  "eos_token": "<end_of_turn>",
  "image_token": "<image_soft_token>",
  "is_local": false,
  "local_files_only": false,
  "mask_token": "<mask>",
  "model_max_length": 32768,
  "model_specific_special_tokens": {
    "boi_token": "<start_of_image>",
    "eoi_token": "<end_of_image>",
    "image_token": "<image_soft_token>"
  },
  "pad_token": "<pad>",
  "padding_side": "left",
  "sp_model_kwargs": null,
  "spaces_between_special_tokens": false,
  "tokenizer_class": "GemmaTokenizer",
  "unk_token": "<unk>",
  "use_default_system_prompt": false
}