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
| { | |
| "architectures": [ | |
| "LlamaForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.1, | |
| "bos_token_id": null, | |
| "dtype": "float32", | |
| "eos_token_id": 0, | |
| "head_dim": 32, | |
| "hidden_act": "silu", | |
| "hidden_size": 160, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 448, | |
| "max_position_embeddings": 256, | |
| "mlp_bias": false, | |
| "model_type": "llama", | |
| "num_attention_heads": 5, | |
| "num_hidden_layers": 4, | |
| "num_key_value_heads": 1, | |
| "pad_token_id": 1, | |
| "pretraining_tp": 1, | |
| "rms_norm_eps": 1e-05, | |
| "rope_parameters": { | |
| "rope_theta": 10000.0, | |
| "rope_type": "default" | |
| }, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.15.1", | |
| "use_cache": true, | |
| "vocab_size": 2048 | |
| } | |