ThoxMicro-1bit-16M
From-Scratch THOX Ternary Model — a THOX model trained from scratch: a BitNet b1.58 ternary decoder (16M parameters, 86.6% of weights ternary) trained on TinyStories
GGUF: Q8_0, TQ2_0 · Ollama Modelfile
Your AI. Your Data. Your Rules.™
Status: PUBLISHED — RESEARCH MODEL. A THOX model trained from scratch: a BitNet b1.58 ternary decoder (16M parameters) trained on TinyStories. See Files for exactly what this repo contains.
Summary
ThoxMicro-1bit-16M is a THOX model trained from scratch: a BitNet b1.58 ternary decoder (16M parameters, 86.6% of weights ternary) trained on TinyStories. It is the deeper sibling of ThoxMicro-1bit-9M, an edge research model, and the base for the THOX 16M device-role models. Neither the 9M nor the 16M supersedes the other.
Highlights
- ThoxMicro-1bit-16M is a THOX model trained from scratch: a BitNet b1.58 ternary decoder (16M parameters, 86.6% of weights ternary) trained on TinyStories.
bash hf download Thox-ai/ThoxMicro-1bit-16M --include '*.gguf' --local-dir ./ThoxMicro-1bit-16M llama-cli -m ./ThoxMicro-1bit-16M/thoxmicro-1bit-16m.TQ2_0.gguf -p "Hello"Ternary files need a recent llama.cpp build; Ollama and LM Studio load only the Q8_0 file.
Specifications
| Base model | See card body |
| Parameters | See card body |
| Formats | GGUF: Q8_0, TQ2_0 · Ollama Modelfile |
| License | Apache-2.0 |
| This repository contains | GGUF build(s) in this repo: thoxmicro-1bit-16m.Q8_0.gguf, thoxmicro-1bit-16m.TQ2_0.gguf |
Files
| File | Size | SHA-256 |
|---|---|---|
thoxmicro-1bit-16m.Q8_0.gguf |
17,033,504 B | e0c8d621ea3c9caa405add44494823ccf033aadb47c8df09762696accfabd192 |
thoxmicro-1bit-16m.TQ2_0.gguf |
8,030,496 B | 13642c72e84db9c337ac22bc72b7a60e8e97df5738d58a3ca56104385d8def98 |
.gitattributes / Modelfile |
— | Supporting files (see repo) |
Architecture
| Field | Value |
|---|---|
| Architecture | BitNet b1.58 ternary decoder |
| Layers | 16 |
| Hidden size | 256 |
| Attention heads | 8 |
| KV heads | 8 |
| FFN / intermediate | 768 |
| Vocab | 8,192 (own byte-level BPE) |
| Max context | 512 |
| Tied embeddings | yes |
Run it
hf download Thox-ai/ThoxMicro-1bit-16M --include '*.gguf' --local-dir ./ThoxMicro-1bit-16M
llama-cli -m ./ThoxMicro-1bit-16M/thoxmicro-1bit-16m.TQ2_0.gguf -p "Hello"
Ternary files need a recent llama.cpp build; Ollama and LM Studio load only the Q8_0 file.
Platforms
| Platform / device | Run path |
|---|---|
| Hugging Face | Download the builds listed under Files from this repo (see Run it) |
Intended use
- On-device and edge text generation within the THOX stack, and research on ternary-weight models.
- Not a safety-aligned public assistant unless deployed behind THOX guardrails.
- Out of scope: medical, legal, financial, safety-critical, or other high-stakes decisions without human review.
Training data and procedure
Trained by THOX from scratch as part of the THOX small-model research line. The corpus and procedure are as described in this card at release; no external base model was used.
Evaluation
No THOX GATE49 result is published for this model.
Limitations
- A 16M research model: story completion only, no instruction following or factual reliability.
- Behaviour and bias reflect the training data; quality outside short English story text is low.
- Quantization trades accuracy for size.
License
Apache License 2.0. This model was trained by THOX from scratch and is released under the Apache License 2.0. Training data note: the training corpus is TinyStories, distributed under CDLA-Sharing-1.0; that license governs the dataset itself.
THOX.ai — Your AI. Your Data. Your Rules.™
Provenance
Published by THOX.ai as Thox-ai/ThoxMicro-1bit-16M. THOX from-scratch research line; no upstream base model. This card was conformed to THOX Model Card Standard v1.0 on 2026-10-31 (frontmatter, tags, header, files, and section structure); the technical content is as published at release.
Citation
@misc{thoxai2026thoxmicro1bit16m,
title={ThoxMicro-1bit-16M},
author={THOX.ai},
year={2026},
url={https://huggingface.co/Thox-ai/ThoxMicro-1bit-16M}
}