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

Libraries

How to use textilelabs/Loom-Atom with Transformers:

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

pipe = pipeline("text-classification", model="textilelabs/Loom-Atom")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

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

Install from WinGet (Windows)

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

Use Docker

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

Llama new
LM Studio
Jan
Ollama
How to use textilelabs/Loom-Atom with Ollama:
```
ollama run hf.co/textilelabs/Loom-Atom:F16
```
Unsloth Desktop
Docker Model Runner
How to use textilelabs/Loom-Atom with Docker Model Runner:
```
docker model run hf.co/textilelabs/Loom-Atom:F16
```

Lemonade

How to use textilelabs/Loom-Atom with Lemonade:

Pull the model

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

Run and chat with the model

lemonade run user.Loom-Atom-F16

List all available models

lemonade list

Atomic Chat

Loom-Atom

File size: 235 Bytes

cf83530

{
  "tokenizer_class": "PreTrainedTokenizerFast",
  "model_max_length": 128,
  "eos_token": "<|eot|>",
  "pad_token": "<|pad|>",
  "additional_special_tokens": [
    "<user>",
    "<loom>"
  ],
  "clean_up_tokenization_spaces": false
}