HAL-X-AI/THX-02

zero-shot-classification model by HAL-X-AI

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THX-02 is a thinking decision model. You give it a state (a message, a ticket, a document, a JSON record, an agent trace, a photo or a chart) and a set of typed questions written in plain language. It returns an answer to every question with a probability for every option, in tens of milliseconds. When it is unsure and the question calls for reasoning, it can first write a short thought and then decide. THX-02 is the successor of THX-01 (0.3 B): 65.06 against 11.30 on the same evaluation. the Decision Vision Index (see Evaluation). 129 requests per second on one RTX 4090. invents an option and generates no free text unless it thinks. Quality control on an egg grading line: an open-vocabulary detector draws the boxes, THX-02 decides clean, dirty or cracked for every egg (16 eggs per frame, one RTX 4090). The detector is used for this…

HAL-X-AI/THX-02 on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-11-12T10:16:20.471Z

Inside the original model card — Document outline
  1. THX-02
  2. Contents
  3. Quickstart
  4. Demos
  5. Live classification
  6. Screen agent
  7. Playing from pixels
  8. Examples
  9. Routing support tickets
  10. Routing requests between models
  11. Reading a chart
  12. Price elasticity and revenue

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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

HAL-X-AI/THX-02 is a zero-shot-classification model repository published by HAL-X-AI on Hugging Face. The source reports the thx02 library.

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Model facts

Task
zero-shot-classification
Library
thx02
Recent downloads (30 days)
2,134
Cumulative likes
51
Hugging Face trending score
49
Reported safetensors parameters
4,539,265,536
Architecture
THXDecisionModel
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-10-23T11:35:27.000Z
Last modified
2026-11-04T21:41:01.000Z

Compatibility and lineage

Reported languages: en, az, zh, kk, uz, ky, ja, es, ru, tr

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-11-12T06:55:09.981Z. Daily imports are snapshots, not real-time monitoring.

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