Instructions to use textilelabs/Loom-Tapestry-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use textilelabs/Loom-Tapestry-3 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="textilelabs/Loom-Tapestry-3")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("textilelabs/Loom-Tapestry-3")
model = AutoModelForCausalLM.from_pretrained("textilelabs/Loom-Tapestry-3", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use textilelabs/Loom-Tapestry-3 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 textilelabs/Loom-Tapestry-3:F16
# Run inference directly in the terminal:
llama cli -hf textilelabs/Loom-Tapestry-3:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf textilelabs/Loom-Tapestry-3:F16
# Run inference directly in the terminal:
llama cli -hf textilelabs/Loom-Tapestry-3:F16

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 textilelabs/Loom-Tapestry-3:F16
# Run inference directly in the terminal:
./llama-cli -hf textilelabs/Loom-Tapestry-3:F16

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 textilelabs/Loom-Tapestry-3:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf textilelabs/Loom-Tapestry-3:F16

Use Docker

docker model run hf.co/textilelabs/Loom-Tapestry-3:F16

LM Studio
Jan

vLLM

How to use textilelabs/Loom-Tapestry-3 with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/textilelabs/Loom-Tapestry-3:F16

SGLang

How to use textilelabs/Loom-Tapestry-3 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "textilelabs/Loom-Tapestry-3" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "textilelabs/Loom-Tapestry-3",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "textilelabs/Loom-Tapestry-3" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "textilelabs/Loom-Tapestry-3",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use textilelabs/Loom-Tapestry-3 with Ollama:
```
ollama run hf.co/textilelabs/Loom-Tapestry-3:F16
```
Unsloth Desktop
Docker Model Runner
How to use textilelabs/Loom-Tapestry-3 with Docker Model Runner:
```
docker model run hf.co/textilelabs/Loom-Tapestry-3:F16
```

Lemonade

How to use textilelabs/Loom-Tapestry-3 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull textilelabs/Loom-Tapestry-3:F16

Run and chat with the model

lemonade run user.Loom-Tapestry-3-F16

List all available models

lemonade list

Atomic Chat

Loom-Tapestry-3 / LICENSE

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	MIT License

	Copyright (c) 2026 Textile Labs

	Permission is hereby granted, free of charge, to any person obtaining a copy of this model
	and associated files (the "Model"), to deal in the Model without restriction, including
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	and/or sell copies of the Model, and to permit persons to whom the Model is furnished to do
	so, subject to the following conditions:

	The above copyright notice and this permission notice shall be included in all copies or
	substantial portions of the Model.

	THE MODEL IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
	BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
	NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
	LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
	CONNECTION WITH THE MODEL OR THE USE OR OTHER DEALINGS IN THE MODEL.