Text Classification
Transformers
Safetensors
GGUF
English
llama
text-generation
tiny-model
from-scratch
router
tool-use
intent-classification
agentic
text-embeddings-inference
Instructions to use textilelabs/Loom-Router-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textilelabs/Loom-Router-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textilelabs/Loom-Router-1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("textilelabs/Loom-Router-1") model = AutoModelForCausalLM.from_pretrained("textilelabs/Loom-Router-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use textilelabs/Loom-Router-1 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-Router-1:F16 # Run inference directly in the terminal: llama cli -hf textilelabs/Loom-Router-1:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf textilelabs/Loom-Router-1:F16 # Run inference directly in the terminal: llama cli -hf textilelabs/Loom-Router-1: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-Router-1:F16 # Run inference directly in the terminal: ./llama-cli -hf textilelabs/Loom-Router-1: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-Router-1:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf textilelabs/Loom-Router-1:F16
Use Docker
docker model run hf.co/textilelabs/Loom-Router-1:F16
- LM Studio
- Jan
- Ollama
How to use textilelabs/Loom-Router-1 with Ollama:
ollama run hf.co/textilelabs/Loom-Router-1:F16
- Unsloth Desktop
- Docker Model Runner
How to use textilelabs/Loom-Router-1 with Docker Model Runner:
docker model run hf.co/textilelabs/Loom-Router-1:F16
- Lemonade
How to use textilelabs/Loom-Router-1 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull textilelabs/Loom-Router-1:F16
Run and chat with the model
lemonade run user.Loom-Router-1-F16
List all available models
lemonade list
- Atomic Chat
Download generation_config.json from textilelabs/Loom-Router-1: direct link, hf CLI and curl.
- Browser
- Download file 196 Bytes
-
https://huggingface.co/textilelabs/Loom-Router-1/resolve/ce3ed47f8090832164b4d8ec9ba6440cc33eaedf/generation_config.json
- Command line
-
hf download hf://textilelabs/Loom-Router-1@ce3ed47f8090832164b4d8ec9ba6440cc33eaedf/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/textilelabs/Loom-Router-1/resolve/ce3ed47f8090832164b4d8ec9ba6440cc33eaedf/generation_config.json
196 Bytes
| { | |
| "_from_model_config": true, | |
| "eos_token_id": 0, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": 1, | |
| "transformers_version": "5.15.1", | |
| "use_cache": false | |
| } | |