Instructions to use textilelabs/Loom-Router-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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

Loom-Router-1

File size: 718 Bytes

ee5016f

{
  "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
}