THX-01 — local AI model by HAL-X AI

Written by Jakub Rusinowski · Last updated

HAL-X AI's 322M multilingual decision model: an mmBERT-base encoder with a decision head, post-trained in 18 languages. Besides choice, yes/no and score it returns numbers, verbatim excerpts and citations from a document.

Variants

The smallest THX-01 variant needs about 1 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache.

ModelVRAM
THX-01 322M →
322M
~1 GB

Memory is quantized weights plus overhead at Q4_K_M, from the same engine as the GPU & VRAM checker.

How to run THX-01 locally

Install Ollama, then pull the tag.

Served by thx01.server (default port 8095). This model does not run in Ollama.

Pick a size above for its own VRAM figure, speed estimate and install command.

Licence

Apache-2.0Commercial use permitted

Commercial use permitted. No usage restrictions beyond attribution.

Applies to: THX-01 322M

Recommended GPU

The cheapest catalogued GPU that runs THX-01 locally (min 1 GB VRAM) is the Intel Arc B570 (10 GB).

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Intel Arc B570 10GB
10 GB VRAM · 150 W board power
2026 prices are volatile — check the current listing.

THX-01 — frequently asked questions

How much VRAM does THX-01 need?

THX-01 needs about 1 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: THX-01 322M (1 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.

Can I run THX-01 on an RTX 4090 (24 GB)?

Yes — THX-01 runs on an RTX 4090 (24 GB) and other 24 GB cards such as the RTX 3090. Smaller variants also fit comfortably on 8–16 GB GPUs at Q4_K_M.

What quantization should I use for THX-01?

Q4_K_M is the best balance of quality and VRAM for THX-01 in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.

How do I run THX-01 locally?

THX-01 is a decision model: it is called over an HTTP endpoint (/v1/systemone), not chatted with. Where a variant is available in Ollama 0.35 or newer, pull it with `ollama pull` and send requests to the local server; the others ship their own server. Each variant page shows the exact commands for that model.