NeuroBrix Hub is the registry for .nbx packages. The CLI and neurobrix.es read the same API, so they never disagree.
neurobrix hub # everything
neurobrix hub --category UPSCALER # one category
neurobrix hub --search whisper # by name
The hub has ten categories: LLM, CODE, VLM, MULTIMODAL, TTS, STT, AUDIO_LLM, IMAGE, UPSCALER, VIDEO. Any other value is rejected.
--category is checked by the hub, not by the CLI. An unknown value prints the valid categories and exits with code 2:
ERROR: unknown category 'AUDIO'
Valid categories: LLM, CODE, VLM, MULTIMODAL, TTS, STT, AUDIO_LLM, IMAGE, UPSCALER, VIDEO
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>
The argument is the full slug, org/Model, case-sensitive, exactly as the catalogue prints it. The archive is fetched to ~/.neurobrix/store/ and extracted to ~/.neurobrix/cache/<Model>.
Expected: an IMPORT COMPLETE block. After importing, run, serve and upscale take the bare model name, not the slug.
.part file. Run the same command again and it continues.--force to reinstall.--no-keep deletes the archive after extraction.sha256 the hub publishes; you can compare it yourself (sha256sum) with the value from the model's API response.neurobrix list # what is installed locally
neurobrix inspect <Model> # contents of one model
neurobrix validate <file.nbx> # verify package integrity
neurobrix remove <Model> # remove one
neurobrix clean --all -y # remove everything
Local models live under the invoking user's home. A model imported as one user is invisible to another, including under sudo.
GET https://neurobrix.es/api/models
GET https://neurobrix.es/api/models?category=UPSCALER
GET https://neurobrix.es/api/models/{org}/{model}
GET https://neurobrix.es/api/models/{org}/{model}/download
See API Reference.
Models are published by the NeuroBrix team. See Model Registry.
Licences · Run your first model
© 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