Instructions to use Thox-ai/ThoxMicro-1bit-16M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Thox-ai/ThoxMicro-1bit-16M 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 Thox-ai/ThoxMicro-1bit-16M:Q8_0
# Run inference directly in the terminal:
llama cli -hf Thox-ai/ThoxMicro-1bit-16M:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Thox-ai/ThoxMicro-1bit-16M:Q8_0
# Run inference directly in the terminal:
llama cli -hf Thox-ai/ThoxMicro-1bit-16M:Q8_0

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 Thox-ai/ThoxMicro-1bit-16M:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf Thox-ai/ThoxMicro-1bit-16M:Q8_0

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 Thox-ai/ThoxMicro-1bit-16M:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Thox-ai/ThoxMicro-1bit-16M:Q8_0

Use Docker

docker model run hf.co/Thox-ai/ThoxMicro-1bit-16M:Q8_0

LM Studio
Jan

vLLM

How to use Thox-ai/ThoxMicro-1bit-16M with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Thox-ai/ThoxMicro-1bit-16M"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Thox-ai/ThoxMicro-1bit-16M",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Thox-ai/ThoxMicro-1bit-16M:Q8_0

Ollama
How to use Thox-ai/ThoxMicro-1bit-16M with Ollama:
```
ollama run hf.co/Thox-ai/ThoxMicro-1bit-16M:Q8_0
```

Unsloth Studio

How to use Thox-ai/ThoxMicro-1bit-16M with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Thox-ai/ThoxMicro-1bit-16M to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Thox-ai/ThoxMicro-1bit-16M to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Thox-ai/ThoxMicro-1bit-16M to start chatting

Docker Model Runner
How to use Thox-ai/ThoxMicro-1bit-16M with Docker Model Runner:
```
docker model run hf.co/Thox-ai/ThoxMicro-1bit-16M:Q8_0
```

Lemonade

How to use Thox-ai/ThoxMicro-1bit-16M with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Thox-ai/ThoxMicro-1bit-16M:Q8_0

Run and chat with the model

lemonade run user.ThoxMicro-1bit-16M-Q8_0

List all available models

lemonade list

Atomic Chat

ThoxMicro-1bit-16M / Modelfile

tommytracx

Upload Modelfile with huggingface_hub

c2d4057 verified 3 days ago

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806 Bytes

	# ThoxMicro-1bit-16M -- BitNet b1.58 ternary, 15,737,088 params, 16 layers.
	# COMPLETION model. No chat template, no instruction tuning.
	# Do not add a SYSTEM prompt -- it cannot follow instructions.

	FROM ./thoxmicro-1bit-16m.Q8_0.gguf

	TEMPLATE """{{ .Prompt }}"""

	# Loops on ~3 of 10 greedy prompts (measured). The repeat penalty is the main
	# guard; deeper did NOT eliminate degeneracy, it moved which prompts trigger it.
	PARAMETER repeat_penalty 1.3

	# Our own 8k BPE declares <pad>/<bos>/<eos>/<unk> -- NOT GPT's <\|endoftext\|>,
	# which is absent from this vocabulary and would never fire.
	PARAMETER stop "<eos>"

	PARAMETER temperature 0.8
	PARAMETER top_p 0.9

	# License UNSETTLED -- TinyStories is CDLA-Sharing-1.0. No LICENSE line until
	# THOX confirms whether share-alike reaches trained weights.