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ollama run Thox-ai/thoxhuman-chat-8b
ollama launch claude --model Thox-ai/thoxhuman-chat-8b
ollama launch opencode --model Thox-ai/thoxhuman-chat-8b
ollama launch hermes --model Thox-ai/thoxhuman-chat-8b
ollama launch openclaw --model Thox-ai/thoxhuman-chat-8b
Your AI. Your Data. Your Rules.™
This repository holds the THOX packaging for ThoxHuman thoxhuman-chat-8b: Modelfile, release manifest, and the THOX Knowledge Pack. The runnable model is published on Ollama as thox-ai/thoxhuman-chat-8b. The weights are upstream Qwen3 weights, byte-identical to the pinned base below; THOX configured this release with a system profile and knowledge pack. THOX did not train these weights.
| Tag | Base | Format |
|---|---|---|
thox-ai/thoxhuman-chat-8b:latest |
qwen3:8b (sha256:500a1f067a9f…) | Ollama model: pinned Qwen3 base + THOX agent system profile |
Ollama (published model)
ollama run thox-ai/thoxhuman-chat-8b
Build it yourself from this repo
hf download Thox-ai/ThoxHuman-Chat-8B --local-dir ./ThoxHuman-Chat-8B
cd ./ThoxHuman-Chat-8B && ollama create thoxhuman-chat-8b -f Modelfile && ollama run thoxhuman-chat-8b
thoxhuman-chat-8b is the conversation tier of the THOX DigitalHuman family: upstream Qwen3-8B weights packaged with a THOX agent system profile for digital-human conversation, plus the versioned THOX Knowledge Pack. The model is transparent that it is synthetic and follows the persona profile supplied by the application. Configuration-derived: THOX did not train these weights.
Digital-human conversation for THOX DigitalHumans and ThoxChat: natural, helpful dialogue under an application-supplied persona profile (Sadie, Ava, Mira, and the wider team), grounded in the THOX Knowledge Pack for product facts. Works standalone and offline.
No training. Base: Qwen/Qwen3-8B via Ollama tag qwen3:8b, pinned digest sha256:500a1f067a9f782620b40bee6f7b0c89e17ae61f686b92c24933e4ca4b2b8b41. Customization: the THOX Agent DigitalHumans kit system profile (role-specialized) in the Modelfile, plus THOX Knowledge Pack v0.1 for local retrieval.
Measured 2026-11-01 on an x86_64 workstation with a 16 GB-class GPU (shared-host execution), 8,192-token context, against the pinned base digest above.
| Measure | Result |
|---|---|
| Memory footprint at 8,192 ctx | 6.31 GB total, 6.31 GB of it VRAM |
| Long-form throughput | 49.78 tok/s over 1400 generated tokens |
| Short-answer throughput | 49.57–50.86 tok/s across the factory set |
| Factory questions | 3 prompts run (Q1 answered (210 tokens); Q2 answered (323 tokens); Q3 answered (1170 tokens)) |
| Knowledge Pack grounding | 7⁄8 topics answered with the verified facts from the supplied passage |
Persona behavior comes from the application-supplied profile and this system profile, not from training; depth of persona fidelity varies. Knowledge is limited to the supplied pack and retrieval. It has no live telemetry, no tool access of its own, and cannot verify live system state. Refusal behavior is the base model’s, moderated only by the system profile. External actions require runtime authorization; a recommendation from this model never grants execution permission.
Apache-2.0, inherited from Qwen3; retain the Apache notice. THOX-owned elements: system profile, knowledge pack, packaging.
THOX Source-Pack Full Build Program (Team AGENT), 2026-10-31. Upstream: Qwen/Qwen3-8B, Ollama tag qwen3:8b, digest sha256:500a1f067a9f782620b40bee6f7b0c89e17ae61f686b92c24933e4ca4b2b8b41. Kit: THOX Agent DigitalHumans Model Kit (catalog/models.json).