ThoxClip-Qwen3-0.6B

The on-device assistant for ThoxClip, published with its grounding requirement stated plainly.

0.6B merged fine-tune · GATE49 ²²⁄₄₉ (development set) · Grounding required · Live on Ollama

Run it: Ollama — Thox-ai/thoxclip-qwen3-0.6b · Find your model: THOX Model Factory · Collection: Flagship & Edge Device Models

Your AI. Your Data. Your Rules.™

Status: PUBLISHED — GROUNDING REQUIRED. This build must be served with the grounded THOX device-facts system prompt, thinking-off; bare deployment is out of contract. Its GATE49 result (²²⁄₄₉) is a baseline, printed in full under Evaluation — THOX does not present it as a strong gate result.

Summary

ThoxClip-Qwen3-0.6B is the published on-device assistant for ThoxClip: a LoRA fine-tune (rank 32) on a THOX-authored corpus of 205 chat and tool-use examples, merged into the base weights. Status: PUBLISHED, grounding required. It must be served with the grounded THOX device-facts system prompt; bare deployment is out of contract.

Highlights

• THOX-authored fine-tune: LoRA (rank 32) on a 205-example THOX corpus of chat and tool-use behaviour, merged into the base weights.
• Known-false discipline at gate: ⁹⁄₁₀ on the GATE49 known-false category, the comparatively strong axis of this baseline.
• Published as the ThoxClip baseline: serviceable under grounding with MeshStack escalation for questions outside the trained facts.

Specifications

Files

Run it

The GGUF build is served via Ollama:

ollama pull Thox-ai/thoxclip-qwen3-0.6b
ollama run Thox-ai/thoxclip-qwen3-0.6b

Serve thinking-off, with the grounding system prompt applied at the serving layer.

Full weights (safetensors) are in the Hugging Face repo:

from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Thox-ai/ThoxClip-Qwen3-0.6B")

Platforms

Intended use

• On-device assistant for ThoxClip: THOX product questions, device help, and small-model chat in the THOX house voice, always under the grounding prompt.
• Out of scope: thinking-mode serving, long-form generation, bare (ungrounded) deployment, safety-critical, medical, or legal decisions, and any THOX claim beyond the published record.

Training data and procedure

THOX fine-tune of Qwen/Qwen3-0.6B. 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) at this build’s finishing gate. Category results as reported at release.

THOX GATE49 factuality gate (49 questions, weights only, no serving-side grounding), measured at this build’s finishing gate: ²²⁄₄₉ passed, mean 2.⁷⁷⁶⁄₅, 14 hard failures. Verified-fact recall is weak (²⁄₁₂), the pricing question is not declined (0/1), and the known-false category is comparatively strong (⁹⁄₁₀). This is not a strong gate result and THOX does not present it as one; the build is published as the ThoxClip baseline because its behaviour is serviceable under grounding and mesh escalation, with the grounding requirement stated plainly.

Limitations

• Grounding required: factual reliability depends on the grounding system prompt and on MeshStack escalation for questions outside the trained facts.
• Weak verified recall at this size; expect correct behaviour mainly on trained facts and declines.
• Thinking-mode behaviour is out of contract; serve thinking-off.
• This build has not been qualified on ThoxClip device hardware.
• The fine-tune corpus is small (205 examples). It teaches THOX identity, house voice, and tool-routing behaviour; it does not add general capability.

Provenance

Published by THOX.ai as Thox-ai/ThoxClip-Qwen3-0.6B. Upstream base: Qwen/Qwen3-0.6B. 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.

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.

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Citation

@misc{thoxai2026thoxclipqwen306b,
      title={ThoxClip-Qwen3-0.6B},
      author={THOX.ai},
      year={2026},
      url={https://huggingface.co/Thox-ai/ThoxClip-Qwen3-0.6B}
}