81 2 weeks ago

THOX-trained LoRA (rank 32) on Qwen2.5-0.5B-Instruct, THOX-authored corpus of 982 examples. GATE49 47/49 (development set); grounding required at runtime. Apache-2.0.

tools
ollama run Thox-ai/thoxedge-0.5b

Applications

Claude Code
Claude Code ollama launch claude --model Thox-ai/thoxedge-0.5b
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OpenCode ollama launch opencode --model Thox-ai/thoxedge-0.5b
Hermes Agent
Hermes Agent ollama launch hermes --model Thox-ai/thoxedge-0.5b
OpenClaw
OpenClaw ollama launch openclaw --model Thox-ai/thoxedge-0.5b

Models

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Readme

ThoxEdge-0.5B

ThoxMini Edge Assistant — an on-device assistant model for the ThoxMini tier: a LoRA fine-tune (rank 32) on a THOX-authored corpus of 982 chat, tool-use, and factuality examples, merged into the base weights

GATE49 47⁄49 (development set) · Safetensors weights · GGUF: Q4_K_M · Live on Ollama

License Params Base Access

Your AI. Your Data. Your Rules.™

Status: PUBLISHED — GROUNDING REQUIRED. Deployed surfaces supply facts through the serving layer; the bare weights are not a reliable source of THOX facts. The full gate result is printed under Evaluation.

Summary

ThoxEdge-0.5B is an on-device assistant model for the ThoxMini tier: a LoRA fine-tune (rank 32) on a THOX-authored corpus of 982 chat, tool-use, and factuality examples, merged into the base weights. Status: PUBLISHED, grounding required. Deployed surfaces supply facts through the serving layer; the bare weights are not a reliable source of THOX facts.

Highlights

  • THOX fine-tune: a LoRA fine-tune (rank 32) on a THOX-authored corpus of 982 chat, tool-use, and factuality examples, merged into the base weights.
  • GATE49 47⁄49 on the THOX factuality gate (development set, abstention-weighted), mean 4.837⁄5, 1 hard failure(s) — printed in full under Evaluation.
  • This repo carries the merged weights (safetensors), a Q4_K_M GGUF, and an Ollama Modelfile.

Specifications

Base model Qwen/Qwen2.5-0.5B-Instruct
Parameters 0.5B
Formats Safetensors weights · GGUF: Q4_K_M · Ollama Modelfile
Training LoRA fine-tune (rank 32) on a THOX-authored corpus of 982 chat, tool-use, and factuality examples, merged into the base weights
License Apache-2.0. The THOX fine-tune and additions in this repo are covered under Apache-2.0; see the license text for terms.
This repository contains Full weights and tokenizer in this repo

Files

File Size SHA-256
model.safetensors 988,097,824 B aa3b81fd4e8c92fbea25009c5488d96e5e6a743fb073c577604ffb3e2746c4d3
ThoxEdge-0.5B.Q4_K_M.gguf 397,807,488 B 6fb3222b996048fac6e4241274104382f30582b30bbddf47edcf9b56917d8598
tokenizer.json 11,421,892 B 3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
chat_template.jinja / .gitattributes / config.json / Modelfile / tokenizer_config.json / training_summary.json / generation_config.json — Supporting files (see repo)

Run it

This repo carries the merged weights (safetensors), a Q4_K_M GGUF, and an Ollama Modelfile.

ollama pull Thox-ai/thoxedge-0.5b
ollama run Thox-ai/thoxedge-0.5b
hf download Thox-ai/ThoxEdge-0.5B ThoxEdge-0.5B.Q4_K_M.gguf --local-dir ./ThoxEdge-0.5B

Platforms

Platform / device Run path
Ollama (laptop / desktop) ollama run Thox-ai/thoxedge-0.5b
Hugging Face Download the builds listed under Files from this repo (see Run it)

Intended use

  • On-device assistant and tool routing for ThoxMini: short conversational replies, THOX house voice, and routing intents to device and mesh functions, fully offline, with facts supplied by the serving layer.
  • Out of scope: safety-critical, medical, or legal decisions without a human in the loop, and any use as a standalone source of THOX facts.

Training data and procedure

THOX fine-tune of Qwen/Qwen2.5-0.5B-Instruct. The corpus and procedure are described in this card as published at release (see Summary and Evaluation); no training beyond what this card describes is claimed for this repository.

Evaluation

Measured with the THOX GATE49 factuality gate (49 questions, weights only, no serving-side grounding; GATE49 is a development set, abstention-weighted). Full narrative under Evaluation below.

Benchmark Result
Total 47⁄49 — mean 4.837⁄5
Hard failures 1

THOX GATE49 factuality gate (49 questions, weights only, no serving-side grounding), most recent evaluation of the shipped build: 47⁄49 passed, mean 4.837⁄5, 1 hard failure (the pricing question was answered without the required decline). THOX gate policy requires zero hard failures, so this build does not pass the gate; it is published with serving-side grounding required, which is the configuration its results support.

Limitations

  • A 0.5B model: narrow capability by design. The fine-tune is a facts and behaviour skin, not a capability upgrade; expect correct declines on hard questions rather than correct answers.
  • Factual answers from the bare weights remain unreliable in the weak categories; deploy with serving-side grounding for facts.
  • This build has not been qualified on ThoxMini device hardware.

License

Apache-2.0. The THOX fine-tune and additions in this repo are covered under Apache-2.0; see the license text for terms.

THOX.ai — Your AI. Your Data. Your Rules.™

Provenance

Published by THOX.ai as Thox-ai/ThoxEdge-0.5B. Upstream base: Qwen/Qwen2.5-0.5B-Instruct. 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{thoxai2026thoxedge05b,
      title={ThoxEdge-0.5B},
      author={THOX.ai},
      year={2026},
      url={https://huggingface.co/Thox-ai/ThoxEdge-0.5B}
}