The NeuroBrix Hub is the registry for discovering, downloading and running models in the .nbx format. The CLI and the website read the same API.
neurobrix hub # everything
neurobrix hub --category VIDEO # one category
neurobrix hub --search whisper # by name
Or on the web: neurobrix.es/catalog for the whole catalogue by category, neurobrix.es/models to search and filter.
Ten, and only these. They are the vocabulary of the API; anything else is rejected with the valid list in the response.
| Category | What it holds |
|---|---|
LLM |
Language models, chat |
CODE |
Code generation and completion |
VLM |
Vision-language models |
MULTIMODAL |
Omni models — several modalities in one package |
TTS |
Text to speech |
STT |
Speech to text |
AUDIO_LLM |
Audio-native language models |
IMAGE |
Image generation |
UPSCALER |
Image super-resolution |
VIDEO |
Video generation |
neurobrix hub --category accepts any of the ten values (case-insensitive). An unknown value prints the valid list from the registry and exits 2. This works from 0.5.3 on; older engines could not filter TTS, STT or AUDIO_LLM.
Generated from the hub. Do not edit by hand.
49 models, 10 categories, 9 runtime families, 0.96 TiB packaged.
Generated from the hub on 2026-11-09 — do not edit by hand, runnode scripts/wiki-sync.mjs catalogue.
Live view: neurobrix.es/catalog · API: /api/models
LLM (4)| Model | Size | Licence | |
|---|---|---|---|
TinyLlama/TinyLlama-1.1B-Chat-v1.0 |
2.1 GiB | apache-2.0 | |
Qwen/Qwen3-30B-A3B-Thinking-2507 |
56.9 GiB | apache-2.0 | |
deepseek-ai/deepseek-moe-16b-chat |
30.5 GiB | deepseek | |
ibm-granite/granite-3.1-1b-a400m-instruct |
2.6 GiB | apache-2.0 |
neurobrix hub --category LLM
CODE (2)| Model | Size | Licence | |
|---|---|---|---|
deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct |
29.9 GiB | deepseek | |
Qwen/Qwen3-Coder-30B-A3B-Instruct |
56.9 GiB | apache-2.0 |
neurobrix hub --category CODE
VLM (1)| Model | Size | Licence | |
|---|---|---|---|
zai-org/GLM-4.1V-9B-Thinking |
19.2 GiB | mit |
neurobrix hub --category VLM
MULTIMODAL (5)| Model | Size | Licence | |
|---|---|---|---|
Qwen/Qwen3-VL-30B-A3B-Thinking |
57.9 GiB | apache-2.0 | |
deepseek-ai/Janus-Pro-7B |
13.8 GiB | mit | |
Qwen/Qwen3-Omni-30B-A3B-Instruct |
65.8 GiB | apache-2.0 | |
openbmb/MiniCPM-o-4_5 |
19.3 GiB | apache-2.0 | |
inclusionAI/Ming-Lite-Omni-1.5 |
51.1 GiB | mit |
neurobrix hub --category MULTIMODAL
TTS (5)| Model | Size | Licence | |
|---|---|---|---|
ResembleAI/chatterbox |
2.0 GiB | mit | |
hexgrad/Kokoro-82M |
353 MiB | apache-2.0 | |
fishaudio/s1-mini |
2.6 GiB | cc-by-nc-sa-4.0 | |
canopylabs/orpheus-3b-0.1-ft |
14.1 GiB | apache-2.0 | |
microsoft/VibeVoice-1.5B |
5.0 GiB | mit |
neurobrix hub --category TTS
STT (3)| Model | Size | Licence | |
|---|---|---|---|
openai/whisper-large |
5.8 GiB | mit | |
openai/whisper-large-v3-turbo |
1.5 GiB | mit | |
nvidia/parakeet-tdt-1.1b |
4.0 GiB | cc-by-4.0 |
neurobrix hub --category STT
AUDIO_LLM (3)| Model | Size | Licence | |
|---|---|---|---|
ibm-granite/granite-speech-3.3-8b |
16.1 GiB | apache-2.0 | |
nvidia/canary-qwen-2.5b |
4.7 GiB | cc-by-4.0 | |
mistralai/Voxtral-Mini-3B-2507 |
8.7 GiB | apache-2.0 |
neurobrix hub --category AUDIO_LLM
IMAGE (5)| Model | Size | Licence | |
|---|---|---|---|
Efficient-Large-Model/Sana_1600M_1024px_MultiLing_diffusers |
9.0 GiB | nvidia-open-model-license | |
PixArt-alpha/PixArt-Sigma-XL-2-1024-MS |
20.3 GiB | openrail++ | |
PixArt-alpha/PixArt-XL-2-1024-MS |
20.3 GiB | openrail++ | |
ostris/Flex.1-alpha |
24.5 GiB | apache-2.0 | |
Efficient-Large-Model/Sana_1600M_4Kpx_BF16_diffusers |
12.0 GiB | nvidia-open-model-license |
neurobrix hub --category IMAGE
UPSCALER (10)| Model | Size | Licence | |
|---|---|---|---|
JingyunLiang/SwinIR-001_classicalSR_DIV2K_s48w8_SwinIR-M_x4 |
43 MiB | apache-2.0 | |
caidas/swin2SR-classical-sr-x2-64 |
47 MiB | apache-2.0 | |
xinntao/Real-ESRGAN-RealESRGAN_x4plus |
64 MiB | bsd-3-clause | |
XPixelGroup/HAT-HAT-L_SRx4_ImageNet-pretrain |
146 MiB | apache-2.0 | |
caidas/swin2SR-classical-sr-x4-64 |
48 MiB | apache-2.0 | |
caidas/swin2SR-realworld-sr-x4-64-bsrgan-psnr |
47 MiB | apache-2.0 | |
JingyunLiang/SwinIR-001_classicalSR_DF2K_s64w8_SwinIR-M_x2 |
43 MiB | apache-2.0 | |
ai-forever/Real-ESRGAN-RealESRGAN_x2 |
64 MiB | — | |
XPixelGroup/HAT-HAT-S_SRx4 |
35 MiB | apache-2.0 | |
ai-forever/Real-ESRGAN-RealESRGAN_x8 |
64 MiB | — |
neurobrix hub --category UPSCALER
VIDEO (11)| Model | Size | Licence | |
|---|---|---|---|
Wan-AI/Wan2.1-T2V-1.3B-Diffusers |
26.9 GiB | apache-2.0 | |
zai-org/CogVideoX-2b |
12.9 GiB | apache-2.0 | |
Wan-AI/Wan2.2-I2V-A14B-Diffusers |
118.0 GiB | apache-2.0 | |
Wan-AI/Wan2.1-I2V-14B-480P-Diffusers |
84.4 GiB | apache-2.0 | |
hpcai-tech/Open-Sora-v2 |
42.4 GiB | apache-2.0 | |
rhymes-ai/Allegro |
23.6 GiB | apache-2.0 | |
rhymes-ai/Allegro-TI2V |
24.3 GiB | apache-2.0 | |
genmo/mochi-1-preview |
38.2 GiB | apache-2.0 | |
Wan-AI/Wan2.1-VACE-1.3B-diffusers |
18.2 GiB | apache-2.0 | |
zai-org/CogVideoX-5b-I2V |
21.0 GiB | cogvideox-license | |
Efficient-Large-Model/SANA-Video_2B_720p_diffusers |
17.1 GiB | nvidia-open-model-license |
neurobrix hub --category VIDEO
neurobrix import <org>/<Model>
Case-sensitive. Downloaded to ~/.neurobrix/store/, extracted to ~/.neurobrix/cache/. Afterwards, run, serve and upscale take the bare <Model> name. Interrupted downloads resume when you re-run the command. See the CLI Reference.
Every download goes through the hub, which checks the model's state and licence and returns the file address with its SHA-256. Models are served from neurobrix.es; the address is valid for one hour and supports resuming. Details in the API Reference.
Models under permissive licences download without a step. Others are gated: you accept the licence once, on the model page (signed in) or in the terminal when importing. See Licences.
A model in the catalogue is in one of three states:
| Page | What it is |
|---|---|
| /catalog | The whole catalogue by category |
| /models | Search and filter; each model has its own page |
| /models/compare | Side-by-side comparison |
| /benchmarks | The engine's published measurements |
| /download | Install the NeuroBrix engine (stable and beta channels) |
Browsing and downloading permissive models need no account. An account is for accepting licences on the website and managing your data.
/account): profile and username, password, active sessions (sign out other devices), optional two-factor authentication (authenticator app with recovery codes), privacy, and your recent downloads. Two-factor setup is available; it is not yet required at sign-in.Models are published by the NeuroBrix team. See Model Registry.
Next: API Reference
© 2025–2026 Hocine Benkelaya. NeuroBrix engine released under the Apache License 2.0.
Developed by Hocine Benkelaya · Supported and funded by Neural Network Holding Ltd · Commercial distribution by WizWorks OÜ