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Uchaza inhloso yakho. Novera ilungisa izinsiza, yenze umsebenzi futhi ihlele imiphumela.
Umsizi ozimele we-AI ngo-TRON-ABS, kusukela ekuqalisweni kokuqala kuya kumiphumela: umbhalo, izithombe, umculo kanye nevidiyo engxoxweni eyodwa.
Iyatholakala ku-Windows, Linux, macOS kanye Android · 80 interface izilimi · 42 cloud providers · 49 media presets · Apache 2.0
Okuzenzakalelayo · Ideshibhodi · AI amamodeli asebenza endaweni kudivayisi yakho · Ihabhu namamodeli ahambisanayo · Ifu · Français · Nikela
Oxhumana naye ngokusemthethweni: contact.novera.tronabs@gmail.com
Amaphrofayili omphakathi asemthethweni ku-Novera: Facebook · Instagram · TikTok · YouTube · X · Bluesky
Yabelana ngezinto ozidalile, amamodeli, izilungiselelo, imibuzo, impendulo kanye nemibono.
> Ukuhunyushwa okusizwayo kwesiNgisi README sangomhla ka-2026-11-03. Ukubuyekezwa kolimi lwendabuko kusadingeka. Amadokhumenti axhunyiwe agcina ulimi lwawo loqobo.
---
## Ukutholakala — 2026-11-03
**Novera 1.0.0 ikhona kubo Windows, Linux, macOS kanye ne-Android.** [Windows x64 / Linux x64](https://github.com/TRON-ABS/Novera/releases/tag/v1.0.0) · [Windows ARM64](https://github.com/TRON-ABS/Novera/releases/tag/v1.0.0-windows-arm64). Amaphakheji edeskithophu, kokubili izingobo zomlando ezingu-CLI, amasiginesha nemiboniso yokubuyekeza kusesidlangalaleni futhi kuqinisekisiwe.
| Inkundla | Ukutholakala |
| --- | --- |
| Windows x64 | Isifaki Esidlangalaleni NSIS, isivuseleli esisayiniwe; ukufakwa komdabu kanye nokushintshwa kuqinisekisiwe. |
| Linux x64 | Esidlangalaleni AppImage, isivuseleli esisayiniwe; ukufakwa komdabu kanye nokushintshwa kuqinisekisiwe. |
| Windows x64 / Linux x64 CLI | [Novera CLI](https://github.com/TRON-ABS/Novera/releases/tag/v1.0.0-cli-novera): `novera.exe` / `novera`, enesiteshi sokubuyekeza esizinikele esisayiniwe. |
| Windows ARM64 | [Isifaki Esidlangalaleni NSIS](https://github.com/TRON-ABS/Novera/releases/tag/v1.0.0-windows-arm64), injini yombhalo wendabuko CPU; ukufakwa, ukushintshwa kanye nokuhlolwa kwesiteshi somphakathi kuqinisekisiwe. |
| Android ARM64 | [Isayinwe esidlangalaleni APK 1.0.0](https://github.com/TRON-ABS/Novera/releases/tag/v1.0.0-android-1000012), Android 7+, iqoqo elizenzakalelayo 512. Umnakekeli uqinisekisa ukuthi 1000012 usebenza kufoni yakhe. Hlanza iphakheji ngaphandle kwezingxoxo, amamodeli noma okhiye bomuntu siqu API. [Ubufakazi kanye nemikhawulo](docs/RELEASE_ANDROID_1.0.0.md). |
| macOS Intel / Apple Silicon | [Isikhulu 1.0.0 DMG ukukhululwa](https://github.com/TRON-ABS/Novera/releases/tag/v1.0.0-macos), macOS 13+ Intel / 14+ Apple Silicon; Novera-izibuyekezo ezisayiniwe. Akubonanga i-Apple notarized; ukuhlola okuzenzakalelayo kuphasiswe ngokuhlukene kuzo zombili izakhiwo, ukuhlola okubukwayo kuhlehlisiwe. [Ukufakwa nobufakazi](docs/RELEASE_MACOS_1.0.0.md). |
| iOS | Ukwakhiwa kwesifanisi sangaphakathi; Ukusayina/ukunikezwa kwe-Apple kuyadingeka ngaphambi kokufakwa kwe-iPhone. [Ukulandelela](docs/REPRISE_MACOS_IOS.md). |
| Windows x64 ephathekayo | [Kusayinwe ZIP kungobo yomlando](https://github.com/TRON-ABS/Novera/releases/tag/v1.0.0-windows-portable); idatha ihlala ku-Data, isayinwe Program esikhundleni iqinisekisiwe. |
| Web, MSI, Debian | Iklayenti Lewebhu elisingathiwe kanye namanye amafomethi ahlala engaphakathi; Pages isiza sokwethula siyatholakala. |
Ku-Mac, vula i-DMG bese ukopisha Novera ku-Izicelo. Uma ukwethulwa kokuqala kuvinjiwe, vumela u-Novera ku **Izilungiselelo Zesistimu → Ubumfihlo Nokuphepha → Vula Noma Kunjalo**. [Iziqondiso ze-Apple](https://support.apple.com/guide/mac-help/mh40616/mac).
Amasiginesha Esibuyekezi awawona Windows Authenticode noma i-Apple notarization. Ukuhlolwa kwenguqulo yamanje okwenziwa ngesandla kudlula esiteshini somphakathi; inguquko phakathi kwezinguqulo ezimbili ezisesidlangalaleni ihlala iwuhlolo lokukhishwa okulandelayo. [Ubufakazi kanye nemikhawulo](docs/LAUNCH_STATUS.md).
Ku-Android, ifoni yesimanje enenkumbulo eyanele iyanconywa kumamodeli endawo; sebenzisa umhlinzeki we-API kumadivayisi anamandla kancane. Osesho lwewebhu, umongo okungenani **16K amathokheni (16,384)** kuyanconywa, ngokungaguquki kuzo zonke izinguqulo.
**Windows x64 ephathekayo 1.0.0 iyatholakala.** Izingxoxo, izilungiselelo namamodeli alandiwe kuhlala ngaphakathi kwefolda ephathekayo ngaphansi `Data`. Khipha ingobo yomlando ephelele bese uqala `Novera.exe`. Vala u-Novera ngaphambi kokuhambisa ifolda noma ukukhipha isitoreji esingu-USB. [Igayidi ephathekayo kanye nemikhawulo](docs/WINDOWS_PORTABLE.md).
## Ideshibhodi eyodwa yayo yonke indalo
Novera ikhula nawe. Izibonelo zakho nezilungiselelo zingasiza abanye abasebenzisi bathole ukusetha okulungile. Yabelana ngemibuzo, izingqinamba kanye nemibono kwethi [Facebook ikhasi](https://www.facebook.com/profile.php?id=61596114515071) noma ngo [i-imeyili](mailto:contact.novera.tronabs@gmail.com). Uma kungenzeka, faka inguqulo yakho ye-Novera, idivayisi kanye nemodeli yendawo/API. Susa ulwazi lomuntu siqu futhi ungalokothi wabelane ngokhiye noma amaphasiwedi angu-API.
*Real Windows isithombe-skrini sohlelo lokusebenza esinikezwe umnakekeli ku-1 Novemba 2026, obika ukuthi uhlelo lokusebenza lusebenza kahle. Ibonisa indawo ekhiqiziwe, izilawuli zayo zefayela eligciniwe kanye nedeshibhodi yokudala ehlanganisiwe; lokhu akuyona into ehlekisayo.*
Iphaneli eyodwa, izindlela ezinhlanu: **Okuzenzakalelayo / Umbhalo / Isithombe / Umculo / Ividiyo**. Izilawuli zilandela imodi ekhethiwe: isilinganiso, ukulungiswa, ubude besikhathi, i-cadence, ikhwalithi, izinsimbi, amazwi, imbewu kanye nenani. Ububanzi bephaneli nezinkinobho zivumelana newindi namalebula ahunyushiwe.
- **1–10 izizukulwane ezilandelanayo**, okuzenzakalelayo ku-1, enamanani azimele esithombe, umculo nevidiyo. Ukumisa kukhansela umsebenzi osebenzayo kanye nomugqa osele.
- **Okungahleliwe, okuhleliwe, +1 kanye -1 imbewu**, izilinganiso ezihleliwe noma ezenziwe ngokwezifiso kanye nokuzikhethela **Real-ESRGAN ×2/×4** ukukhushulwa okunobukhulu bokugcina obubonisiwe.
- Imodeli ekhethiwe, inkumbulo ezenzakalelayo, okunamathiselwe kwi-imeyili, imiyalelo, ukusesha kwewebhu namathuluzi kuhlala kubha efanayo. Amathuluzi ancike emandleni emodeli kanye nokufinyelela okunikiwe.
## Kusukela ekuqalisweni kokuqala kuya emiphumeleni
**Imishini yethu ezenzakalelayo ixhuma ukulungiselela nokugeleza komsebenzi okuphelele.** Novera iphatha izinyathelo zobuchwepheshe ezitholakalayo zokucushwa okukhethiwe, kuyilapho igcina izilawuli ezithuthukisiwe zifinyeleleka.
| Isinyathelo | Yiziphi izibambo ezingu-Novera |
| --- | --- |
| **1. Qala** | Ikhetha ulimi lwesistimu olusekelwe ekuqaleni futhi ilondoloza okuncamelayo. Iphrezenta amamodeli aqalayo kanye nolwazi oluwusizo lwehadiwe. |
| **2. Lungiselela** | Ukufakwa okuqondisiwe kunikeza umbhalo, ukushumeka, isithombe, umculo, ividiyo nokukhushulwa. Ihlola kuqala izingxenye, osayizi nesikhala esikhululekile ngaphambi kwemvume yakho, bese ilandelela ukulanda ngokuqhubekayo, misa isikhashana/qalisa kabusha kanye no-SHA-256 ukuqinisekiswa. |
| **3. Lungiselela** | Ibhalisa amamodeli nezingxenye zawo, ilungiselela amaphrofayili afanele kanye nemibiko okuncika okudingekayo. Ukushumeka kokubuyisa kuqala ku-CPU ngokukhetha okulondoloziwe okungu-CPU/GPU. Amaphrofayili omculo amasha azenzakalelayo abe yimodi yezinsimbi. |
| **4. Qonda isicelo** | Imizila ezenzakalelayo ibona izicelo zokudala zombhalo, isithombe, umculo noma ividiyo. Ungaphinda ukhethe ngokusobala imodi yokukhipha kanye nemodeli yendawo noma yamafu. |
| **5. Sebenzisa** | Inkumbulo ezenzakalelayo ilinda umsebenzi osebenzayo, ikhiphe amamodeli angadingeki futhi ilayishe kabusha izinsiza ezidingekayo. Uchungechunge lwemisebenzi engu-1–10 luhamba ngokulandelana futhi lukhipha izinsiza ngaphambi komsebenzi olandelayo. Abahlinzeki bamafu basebenzisa i-akhawunti ekhethiwe kanye nokucushwa. |
| **6. Buyisa futhi usebenzise kabusha** | Ilondoloza imidiya kumafolda esistimu angu-Novera, ibonisa imiphumela nezikhathi ezitholakalayo, bese inikeza okuhlukile, umtapo wolwazi, ukukopisha, ukuthumela ngaphandle noma ukwabelana ngesistimu. Ukuthumela kolunye uhlelo lokusebenza kuhlala kuyisenzo sakho. |
I-Automation ihlanganisa izinjini ezihlanganisiwe nokugeleza komsebenzi; ayenzi yonke imodeli ye-Hub isebenziseke. Izingxenyekazi zekhompuyutha, izingxenye ezifakiwe nokufinyelela komhlinzeki kunquma ukuthi yini engasebenza. Amafolda, izinguquko zefayela nemiyalo yegobolondo kulandela izibonelelo zokufinyelela zengxoxo.
[Igayidi yomsebenzisi](docs/USER_GUIDE.md) · [Izinjini nokuqinisekisa](docs/SUIVI_MOTEURS.md) · [Intuthuko](docs/DEVELOPMENT.md)
Emithonjeni ebuyekeziwe, **Ukucushwa kulungisa izincomo zakho ku-hardware ephathwayo nebambekayo**: LFM3-1.7B Q4, noma LFM3-Omni-2B Q4 neprojektha yayo lapho izidingo zememori nenjini zifinyelelwa. Isizukulwane sendawo esingatholakali sifihliwe noma sivinjiwe; isithombe sefu esimisiwe, umculo nevidiyo kuhlala kutholakala. Isiqondiso sesixhumi esibonakalayo sisebenzisa kabusha amakhathalogi olimi angu-80. Lezi zilinganiso zisadinga ukuhlolwa kwedivayisi nokwakhiwa kabusha ukuze kufinyelelwe izinhlelo zokusebenza ezifakiwe.
## Amakhono emthonjeni
Ukuxilongwa okukhethwa kukho kokulungisa manje kuhlukanisa ukwehluleka kwezakhiwo nezisetshenziswa eziphathwayo kanye nokuhlukile okungu-JavaScript, ngemvume ehlukene nezinkambu zobuchwepheshe ezihlungiwe. Isexwayiso se-imeyili sokukhiqiza sangehora silungiselelwa umnakekeli. Amamephu emithombo eyimfihlo nemininingwane yesexwayiso ilandela [ibhuku lokulungisa](docs/MAINTENANCE.md); irisidi yokuhlola ye-imeyili iyaqinisekiswa, kuyilapho ukulayishwa nokuhlola kophawu oluqinisekisiwe kukhombambili olandelayo kusasele amasheke okukhishwa.
| Indawo | Izici |
| --- | --- |
| **Ukuqonda umbhalo nesithombe** | Ingxoxo, okunamathiselwe kwi-imeyili kwedokhumenti, izimpendulo ezisakazwayo namamodeli endawo noma amafu. Umbono uncike kumodeli; ukuqonda nokukhiqiza izithombe kungamakhono ahlukene. |
| **Isithombe** | Ukukhiqiza ngendizindzuzo ngendizindzuzo, izimiso, izilinganiso, isixazululo, izigaba ze-GGUF/Safetensors, izibopho ze-Diffusers ezilungiswe kanye ne-profile ye-NVFP4 CUDA eyakwamkelwa ngendlela yayo. |
| **Umculo** | Ukukhiqizwa kwendawo noma yamafu, ubude besikhathi, ikhwalithi, izinsimbi noma amazwi lapho asekelwa khona, amagama abhaliwe ahlelekile kanye nesidlali somsindo. Izinketho zomhlinzeki ziyehluka. |
| **Ividiyo** | Ukukhiqizwa kwendawo noma yamafu, ubude besikhathi, ukubala kozimele/i-cadence yamaphrofayela endawo, izilinganiso, ukulungiswa kanye nesidlali sevidiyo. |
| **Usesho namathuluzi** | Usesho lwewebhu, ukubuyiswa kwedokhumenti okusekelwe ekushumekeni, MCP, izindawo zokusebenza namathuluzi endawo ngokuya ngokusekelwa okuyimodeli kanye nokufinyelela okunikiwe. |
| **Imiphumela nokwabelana** | Umtapo wezincwadi wemidiya, okuhlukile, ukuthunyelwa kwempendulo/ingxoxo, imibhalo nemidiya yasekuqaleni, ukuphrinta/PDF nokwabelana kwesistimu okuncike endaweni. |
| **Ukuphathwa kwezinsiza** | Inkumbulo ezenzakalelayo inikwe amandla ngokuzenzakalela, izilungiselelo ze-CPU/GPU zezingxenye ezisekelwayo namaphrofayela okwenziwa ngesandla uma izinsiza zivuma. |
## AI amamodeli asebenza endaweni kudivayisi yakho
Lawa mamodeli akha ukucushwa kwamanje okuqondisiwe. Ungangenisa amanye amamodeli ahambisanayo noma uguqule amaphrofayili.
| Indima | Imodeli / izingxenye ezimisiwe |
| --- | --- |
| **Umbhalo — imodeli yokuqala** | **Nemotron-3.5-Bolt-E4B**, ifayela `Nemotron-3.5-Bolt-E4B-Q4_K_M.gguf`. |
| **Ukubuyiswa kwedokhumenti** | **Qwen3-Embedding-0.6B Q8_0**, **CPU ngokuzenzakalelayo**, ngokukhetha okulondoloziwe okungu-CPU/GPU. |
| **Isithombe** | **FLUX.2 Klein 4B Q4_K_M**, **Qwen3-4B Q4_K_M** i-encoder kanye nesemthethweni FLUX.2 VAE. |
| **Isithombe - inketho yehadiwe** | **FLUX.2 Klein 4B NVFP4**, ngokusebenzisa indlela yomdabu engu-CUDA lapho i-GPU kanye nemvelo kuhambisana. |
| **Umculo** | **ACE-Step 1.5 Turbo 2B Q4_K_M**, `acestep-5Hz-lm-1.7B-Q8_0.gguf` umhleli, ozinikezele Qwen isifaki khodi somculo kanye ne-VAE. |
| **Ividiyo** | **Wan2.1 T2V 1.3B Q4_K_M**, **UMT5-XXL Q4_K_M** i-encoder kanye ne-Wan 2.1 VAE. |
| **Ukukhuphuka** | Uma uthanda **Real-ESRGAN ×2 kanye ×4**, ngokuhlolwa kokuncika. |
Isifaki khodi somculo esingu-Qwen kanye nemodeli yokubuyisa engu-Qwen **amafayela ahlukene**, egcinwe ngokwehlukana. Amalayisense angamamodeli ahlala engawabashicileli bawo.
[I-manifest yombhalo](web-app/src/constants/text-manifest.json) · [Embeddings](web-app/src/constants/embedding-manifest.json) · [Umculo](web-app/src/constants/music-manifest.json) · [Izingxenye zesithombe/zevidiyo](src-tauri/src/core/creation_bundle.rs)
## Abahlinzeki bamafu
**42 amaphrofayli abahlinzeki** zihlanganisiwe. **ElevenLabs** manje isivela embukisweni eduze kwemizila yomculo kusuka ku-Stability AI, fal kanye Replicate.
| | | |
| --- | --- | --- |
| 
[OpenAI](https://platform.openai.com/docs/models) | 
[Microsoft Azure](https://oai.azure.com/deployments) | 
[Anthropic](https://platform.claude.com/docs/en/models/overview) |
| 
[OpenRouter](https://openrouter.ai/models) | 
[Mistral](https://docs.mistral.ai/models) | 
[Groq](https://console.groq.com/docs/models) |
| 
[xAI](https://docs.x.ai/developers/models) | 
[Google Gemini](https://ai.google.dev/gemini-api/docs/models) | 
[MiniMax](https://platform.minimax.io/docs/api-reference/text-openai-api) |
| 
[Hugging Face](https://huggingface.co/models?pipeline_tag=text-generation&inference_provider=all) | 
[NVIDIA NIM](https://build.nvidia.com/models) | 
[DeepSeek](https://api-docs.deepseek.com/) |
| 
[Kimi · Moonshot AI](https://platform.kimi.ai/docs/models) | 
[Alibaba Cloud · Qwen](https://www.alibabacloud.com/help/en/model-studio/models) | 
[Cerebras](https://inference-docs.cerebras.ai/models/overview) |
| 
[Together AI](https://docs.together.ai/docs/serverless/models) | 
[Fireworks AI](https://docs.fireworks.ai/getting-started/models) | 
[Perplexity](https://docs.perplexity.ai/docs/agent-api/models) |
| 
[Meta AI](https://dev.meta.ai/docs/models) | 
[Cohere](https://docs.cohere.com/docs/models) | 
[Z.ai](https://docs.z.ai/guides/llm/glm-5.3) |
| 
[AI21 Labs](https://docs.ai21.com/docs/jamba-foundation-models) | 
[BytePlus · ByteDance](https://docs.byteplus.com/en/docs/modelark/model-parameter-support) | 
[Baidu Qianfan](https://cloud.baidu.com/doc/qianfan/s/rmh4stp0j) |
| 
[Tencent TokenHub](https://cloud.tencent.com/document/product/1823/130078) | 
[Amazon Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/inference-chat-completions.html) | 
[IBM watsonx](https://www.ibm.com/docs/en/watsonx/saas?topic=preview-inferencing-gateway-models) |
| 
[ElevenLabs](https://elevenlabs.io/docs/api-reference/music/compose) | 
[Black Forest Labs](https://docs.bfl.ai/quick_start/generating_images) | 
[Stability AI](https://docs.stability.ai/api-reference) |
| 
[Recraft](https://www.recraft.ai/docs/api-reference/agents.md) | 
[Ideogram](https://developer.ideogram.ai/ideogram-api/api-overview) | 
[Adobe Firefly](https://developer.adobe.com/firefly-services/docs/firefly-api/) |
| 
[Runway](https://docs.dev.runwayml.com/api/) | 
[Luma](https://docs.agents.lumalabs.ai/guides/model/) | 
[LTX (Lightricks)](https://docs.ltx.io/models) |
| 
[fal](https://fal.ai/docs/documentation/model-apis/inference/queue) | 
[Replicate](https://replicate.com/docs/reference/http) | 
[Leonardo.Ai](https://docs.leonardo.ai/reference/creategeneration) |
| 
[Krea](https://www.krea.ai/docs/developers/krea-3/overview) | 
[Vidu](https://platform.vidu.com/docs/model-map) | 
[PixVerse](https://docs.platform.pixverse.ai/changelog-2394996m0) |
### Isithombe, umculo nevidiyo
**20 abahlinzeki badalula imizila yokukhiqiza**, nge **49 ukusetha kuqala: 25 isithombe, 20 ividiyo kanye 4 umculo**. Imizila yomculo ikhona **ElevenMusic v2.5**, **Stable Audio 3**, **ACE-Step ngokusebenzisa fal** kanye **Stable Audio 2.5 ngokusebenzisa Replicate**.
| Umhlinzeki | Imiphumela ku-Novera | Amamodeli ekhathalogi |
| --- | --- | --- |
| [ElevenLabs](https://elevenlabs.io/docs/api-reference/music/compose) | Umculo | `ElevenMusic v2.5` |
| [Stability AI](https://docs.stability.ai/api-reference/stable-audio/text-to-audio) | Isithombe / Umculo | `Stable Audio 3` · `Stable Image Ultra` · `Stable Image Core` |
| [fal](https://fal.ai/models/fal-ai/ace-step/api) | Isithombe / Umculo / Ividiyo | `ACE-Step · cloud` · `Pika 2.2 · fal` · `Qwen Image 2512 · fal` · `FLUX.2 Max · fal` · `Kling 3 Pro · fal` · `Kling 3 Standard · fal` |
| [Replicate](https://replicate.com/stability-ai/stable-audio-2.5/api/schema) | Isithombe / Umculo | `Stable Audio 2.5 · Replicate` · `FLUX.2 Max · Replicate` |
| [BytePlus · ByteDance](https://docs.byteplus.com/en/docs/ModelArk/image-generation-api) | Isithombe / Ividiyo | `Dola Seedream 5 Pro` · `Dreamina Seedance 2.5` |
| [Adobe Firefly](https://developer.adobe.com/firefly-services/docs/firefly-api/api/) | Isithombe / Ividiyo | `Adobe Firefly Image 5` · `Adobe Firefly Video` |
| [Google Gemini](https://ai.google.dev/gemini-api/docs/omni) | Isithombe / Ividiyo | `Gemini Omni 1.1 Flash` · `Gemini Nano Banana 2.1` |
| [Krea](https://www.krea.ai/docs/developers/krea-3/overview.md) | Isithombe | `Krea 3` |
| [Leonardo.Ai](https://docs.leonardo.ai/docs/lucid-origin) | Isithombe | `Lucid Origin` · `Krea 2 Turbo · Leonardo` · `Ideogram 3 · Leonardo` |
| [Vidu](https://platform.vidu.com/docs/api-reference/video-models/vidu-q4-preview/image-to-video) | Ividiyo | `Vidu Q4 Preview` · `Vidu Q3 Pro` · `Vidu Q3 Turbo` |
| [OpenAI](https://developers.openai.com/api/docs/guides/image-generation) | Isithombe | `GPT Image 2.5 Sunburst` · `GPT Image 2.5 Flare` |
| [xAI](https://docs.x.ai/developers/model-capabilities/imagine) | Isithombe / Ividiyo | `Grok Imagine Image 2.0` · `Grok Imagine Video 1.5` · `Grok Imagine Video 1.5 Lite` |
| [Black Forest Labs](https://docs.bfl.ai/quick_start/generating_images) | Isithombe | `FLUX.2 [max]` · `FLUX.2 [pro]` · `FLUX.2 [klein] 9B` |
| [Recraft](https://www.recraft.ai/docs/api-reference/agents.md) | Isithombe | `Recraft V4.1` · `Recraft V4.1 Flash` · `Recraft V4.1 Pro` |
| [Ideogram](https://developer.ideogram.ai/ideogram-api/api-overview) | Isithombe | `Ideogram 4.5` |
| [Runway](https://docs.dev.runwayml.com/api/) | Ividiyo | `Runway Gen-4.5` |
| [Luma](https://docs.agents.lumalabs.ai/guides/model/) | Isithombe / Ividiyo | `Luma Uni-1 Max` · `Luma Uni-1` · `Luma Ray 3.2` |
| [LTX (Lightricks)](https://docs.ltx.io/models) | Ividiyo | `LTX-2.5 Pro` · `LTX-2.5 Fast` |
| [MiniMax](https://platform.minimax.io/docs/api-reference/video-generation-v2-create) | Isithombe / Ividiyo | `MiniMax H3 Max` · `MiniMax H3` · `MiniMax H3 Highspeed` · `MiniMax Image-01` |
| [PixVerse](https://docs.platform.pixverse.ai/changelog-2394996m0) | Ividiyo | `PixVerse V6 Max` · `PixVerse V6` |
Bonisa uhlu olufushane lwemodeli yombhalo nombono ngomhlinzeki
| Umhlinzeki | Ama-ID angamamodeli anikezwa emthonjeni |
| --- | --- |
| [OpenAI](https://platform.openai.com/docs/models) | `gpt-6.1-sol` · `gpt-6-astra` · `gpt-6-luna` · `gpt-6-sol` |
| [Microsoft Azure](https://oai.azure.com/deployments) | Ukuthunyelwa okuqondene ne-akhawunti noma isango |
| [Anthropic](https://platform.claude.com/docs/en/models/overview) | `claude-sonnet-5-5` · `claude-opus-5-5` · `claude-fable-5-1` · `claude-haiku-5-5` |
| [OpenRouter](https://openrouter.ai/models) | `moonshotai/kimi-k3.1-pro` · `minimax/minimax-m3.1-flash` · `deepseek/deepseek-v4.1-flash-1017` · `nvidia/nemotron-3.5-super-vl:free` |
| [Mistral](https://docs.mistral.ai/models) | `mistral-large-4` · `mistral-medium-3-5` · `mistral-small-2603` · `ministral-3b-2512` |
| [Groq](https://console.groq.com/docs/models) | `openai/gpt-oss-120b` · `openai/gpt-oss-20b` · `llama-3.3-70b-versatile` · `llama-3.1-8b-instant` |
| [xAI](https://docs.x.ai/developers/models) | `grok-4.7` |
| [Google Gemini](https://ai.google.dev/gemini-api/docs/models) | `gemini-4-argon` · `gemini-3.8-flash` · `gemini-3.6-flash` · `gemini-3.5-flash-lite` |
| [MiniMax](https://platform.minimax.io/docs/api-reference/text-openai-api) | `MiniMax-M3.1-Flash` · `MiniMax-M3` |
| [Hugging Face](https://huggingface.co/models?pipeline_tag=text-generation&inference_provider=all) | `deepseek-ai/DeepSeek-V4.1-Flash-1017` · `Qwen/Qwen3.8-27B` · `moonshotai/Kimi-K3` · `zai-org/GLM-5.3` |
| [NVIDIA NIM](https://build.nvidia.com/models) | `minimaxai/minimax-m3.1-flash` · `deepseek-ai/deepseek-v4.1-flash` · `nvidia/nemotron-3.5-super-vl-120b-a12b` · `nvidia/nemotron-3.5-lightning-30b-a3b` · `z-ai/glm-5.3` |
| [DeepSeek](https://api-docs.deepseek.com/) | `deepseek-flash` · `deepseek-v4-pro` |
| [Kimi · Moonshot AI](https://platform.kimi.ai/docs/models) | `kimi-k3.1-pro` · `kimi-k3.1-pro-highspeed` · `kimi-k3` |
| [Alibaba Cloud · Qwen](https://www.alibabacloud.com/help/en/model-studio/models) | `qwen3.8-max` · `qwen3.7-plus` · `qwen3.8-flash` |
| [Cerebras](https://inference-docs.cerebras.ai/models/overview) | `qwen-3.8-27b` · `gpt-oss-120b` |
| [Together AI](https://docs.together.ai/docs/serverless/models) | `deepseek-ai/DeepSeek-V4.1-Flash-1017` · `moonshotai/Kimi-K3` · `Qwen/Qwen3.8-Flash` · `Qwen/Qwen3.8-2.4T-A95B` |
| [Fireworks AI](https://docs.fireworks.ai/getting-started/models) | `accounts/fireworks/models/deepseek-v4p1-flash-1017` · `accounts/fireworks/models/kimi-k3` · `accounts/fireworks/models/minimax-m3` |
| [Perplexity](https://docs.perplexity.ai/docs/agent-api/models) | `perplexity/sonar` · `openai/gpt-6.1-sol` · `google/gemini-4-argon` · `perplexity/kimi-k3` |
| [Meta AI](https://dev.meta.ai/docs/models) | `muse-wonder-1.0` · `muse-spark-1.3` |
| [Cohere](https://docs.cohere.com/docs/models) | `command-a-plus-05-2026` |
| [Z.ai](https://docs.z.ai/guides/llm/glm-5.3) | `glm-5.3` · `glm-5.3-flash` · `glm-5.3-flashx` |
| [AI21 Labs](https://docs.ai21.com/docs/jamba-foundation-models) | `jamba-large` · `jamba-mini-2` |
| [BytePlus · ByteDance](https://docs.byteplus.com/en/docs/modelark/model-parameter-support) | `dola-seed-2-1-turbo-260628` |
| [Baidu Qianfan](https://cloud.baidu.com/doc/qianfan/s/rmh4stp0j) | `ernie-5.1` |
| [Tencent TokenHub](https://cloud.tencent.com/document/product/1823/130078) | `hy4-preview` |
| [Amazon Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/inference-chat-completions.html) | `openai.gpt-6.1-sol` |
| [IBM watsonx](https://www.ibm.com/docs/en/watsonx/saas?topic=preview-inferencing-gateway-models) | Ukuthunyelwa okuqondene ne-akhawunti noma isango |
Inventory ihlolwe ngokumelene nomthombo **29 October 2026**. Lawa magama achaza ukusetha ngaphambilini kwe-Novera, hhayi ukufinyelela okuqinisekisiwe kwayo yonke i-akhawunti. Amakhathalogi akude, izifunda, amalayisense, izabelo kanye nokukhokha kuhlala kuqondene nabahlinzeki. Amaphrofayili ahambisanayo angavuselela amakhathalogi awo; I-Azure namanye amasango asebenzisa ukuthunyelwa kwe-akhawunti. Izinkontileka zamafu ziye zalingisa izivivinyo; asikho isizukulwane esikhokhelwayo esenziwe kulesi sibuyekezo sombukiso.
[Ikhathalogi yemidiya](web-app/src/constants/mediaProviders.ts) · [Amamodeli ombhalo/ombono](web-app/src/constants/cloudModels.ts) · [Ukusethwa kwamafu](docs/USER_GUIDE.md#cloud) · [Isithonjana sokuqala](docs/DEVELOPMENT.md#logos)
## Ihabhu namamodeli ahambisanayo
**GGUF, okujwayelekile kanye nenani Safetensors, ONNX, kanye MLX**: hlola amamodeli ngomsebenzi bese ukhetha okuhlukile okuhambisana nenjini nehadiwe yakho.
| Umndeni | Ukusekela emthonjeni | Izidingo |
| --- | --- | --- |
| **GGUF** | Ukwenziwa kombhalo ngokusebenzisa llama.cpp; izingxenye zesithombe nevidiyo zamaphrofayili asekelwayo. | I-Architecture ebonwa injini ehlanganisiwe. |
| **Hlukanisa GGUF** | Okuhlukile okukodwa ngochungechunge oluphelele, usayizi ofingqiwe, ukulanda kwe-shard kanye nosayizi/SHA-256/ukuhlolwa kwesihloko. | Amagama wefayela anezinombolo ezijwayelekile; ukulanda 500 GB akusho ukuthi imodeli ilingana nale PC. |
| **Standard Safetensors** | Gcwalisa amafolda ngokuthi Transformers, umbhalo oyisizathu kokuthi CPU noma NVIDIA CUDA. | Ukucushwa, i-tokenizer kanye nawo wonke ama-shard adingekayo. |
| **ONNX Runtime** | Ukungenisa kwendawo kwamagrafu ezinombolo/e-bool futhi kwalungiselelwa ukuthunyelwa ngaphandle kombhalo okungu-GenAI. | Ifolda ephelele eqinisekisiwe; ukucubungula kwangaphambili/ukucubungula kwangemuva komsebenzi okudingekayo; [ukusetha kanye nemikhawulo](onnx-server/README.md). |
| **LoRA / PEFT ama-adaptha** | Ngenisa isisekelo esiphelele esine-adaptha yasendaweni ehlukile kumhlinzeki we-Safetensors. | Isizathu esingenakulinganiswa Transformers isisekelo, ubunikazi obufanayo, amasheke we-tensor kanye nesilinganiso senkumbulo esinqwabelene; [ukusetha kanye nemikhawulo](transformers-server/README.md#local-lora--peft-adapters). |
| **FP8 LLM / ModelOpt** | Ukukhishwa kwe-Native CUDA kokunye okuhambisanayo Llama/Qwen2/Qwen3 per-tensor FP8 ukuthunyelwa ngaphandle. | Ukuhlolwa kwe-Architecture/tensor kanye ne-kernel probe yangempela; [ukusetha kanye nemikhawulo](transformers-server/README.md#modelopt-fp8-and-nvfp4-llms). |
| **NVFP4 LLM / ModelOpt** | Ibhulokhi epakishiwe-16 FP4 izilinganiso ngama-GEMM omdabu angu-CUDA; hlukana nesithombe NVFP4. | Iyahambisana Blackwell GPU, ubukhulu obusekelwe/ukuthekelisa kanye nophenyo lwangempela lwe-kernel; amamodeli okuhlola angaqeqeshiwe zihlolwe ku-RTX 5070. |
| **AWQ** | 4-bit GEMM imodeli yezindawo zokuhlola ngaphandle kokuhlanganiswa kokusebenza. | NVIDIA CUDA kanye nezilayishi ze-GPTQModel/Transformers ozikhethela. |
| **GPTQ** | Izilungiso ze-2/3/4/8-bit, iziformati ze-gptq/gptq_v2. | NVIDIA CUDA, GPTQModel kanye Optimum; ukubulawa kwangempela kuhlolwe ku-4 bits. |
| **bitsandbytes** | 4-bit NF4/FP4 noma 8-bit INT8. | NVIDIA CUDA kanye nokuncika ngokuzithandela; real NF4 kanye nokuhlolwa kwe-INT8. |
| **EXL3** | Gcwalisa inani lamafolda angamamodeli angu-Safetensors alayishwe nge-ExLlamaV3; isizukulwane sangempela nge-CUDA sihloliwe. | NVIDIA GPU, hlukanisa Python 3.12 imvelo kanye nezakhiwo ezihambisanayo; cha CPU ukubuyela emuva. |
| **EXL2** | Ezinikezelwe ExLlamaV2 isilayishi; ukusakaza, ukukhansela kanye nokukhipha kuhlolwe ku-GPU. | CUDA ukunakwa kufanele kukhethwe ngokusobala kusitaki sesofthiwe esihloliwe; iphoyinti lokuhlola eliphelele lemodeli kanye ne-VRAM etholakalayo. |
| **MLX** | Amamodeli ahambisanayo ku-Apple Silicon. | MLX injini kanye nesiteji esisekelwe. |
Ihabhu manje iyaphina **LFM3-1.7B** njengesincomo sayo se-LiquidAI sokucushwa okuhambisanayo, nge-Q4_K_M, Q6_K kanye ne-Q8_0 ehlukile. Imodeli eqalwe kuqala ihlala ileyo esohlwini lokucushwa okuqondisiwe ngenhla.
Hlunga ukulanda izisindo kusuka **ngaphansi kwe-1 GB kuya ku-500 GB nangaphezulu**, bese uhlunga ngokulingana kwehadiwe, usayizi, okwakamuva noma okulandiwe. Imiphumela ilayisha ngokuqhubekayo; izihlungi zisebenza kumamodeli alandiwe nokuhluka kwawo okuzenzakalelayo. Iseluleko senkumbulo sisebenzisa u-RAM/VRAM etholakalayo, umongo nezingxenye ezihambisanayo, ngaphandle kokubala kabili inkumbulo eyabiwe engu-GPU.
AWQ 4-bit, GPTQ 4-bit, NF4 kanye ne-INT8 ngasinye zikhiqiza umbhalo ku-RTX 5070 Laptop zisebenzisa iimodeli ezincane ezingaqeqeshwanga ezakhiwe ngaphandle kwe-offline. Lokhu chunza ukulodwa nokugcinwa, hhayi isiphiwo noma ukusebenza kwemodeli ngamunye. **Lezi zengezo zisemthonjeni: ukwakhiwa kabusha nokuncika okuhambisanayo kuyadingeka; lesi sibuyekezo esingu-README asithuthukisi i-binary efakiwe.**
**Ikalwe ku-RTX 5070 Laptop:** Qwen2.5-0.5B-Instruct, umongo 2,048, ngokushesha 272 amathokheni, 128 amathokheni akhiqiziwe, ukugijima okufudumele okuhlanu: i-decode ephakathi **GGUF Q4_K_M 402.7 tokens/s · EXL3 4 bpw 312.5 · EXL2 4 bpw 146.9**. Ayikho inzuzo yejubane ngaphezu kuka-GGUF ebonisiwe lapha. Ukulinganisa/ukulinganisa kuyahluka, futhi EXL3 yehlulekile ukwaziswa okukodwa kwentuthu ye-arithmetic; le miphumela ayisona isivinini esijwayelekile noma izinga lekhwalithi. [Izilinganiso ezigcwele kanye nemikhawulo I-](deliverables/exllama-2026-10-30/validation.md).
**TabbyAPI** iwukuxhumeka kweseva okungakhethwa kukho, okuphethwe ngokuhlukile okungu-OpenAI, kukhutshazwe ngokuzenzakalelayo. Ukutholwa nokusakaza kwemodeli okungu-EXL3 okuqinisekisiwe kuye kwahlolwa. Umzila wendawo ophethwe ExLlama uhlala uhlukile. [ExLlama ukusethwa kanye TabbyAPI uxhumano](transformers-server/README.md#exl3-first-exl2-second--nvidia-execution).
Uhlobo oluzenzakalelayo oluguqulelwe kwihadiwe luthanda ukukhishwa okusha ngaphakathi kokuhambisana okufanayo kanye nesigaba sememori etholakalayo. Amamodeli afakiwe awashintshwa ngokuzenzakalelayo.
[Ukusetha okulinganiselwe kwe-Safetensors](transformers-server/README.md#quantized-safetensors--source-integration-29-october-2026) · [Amafomethi, izinto eziza kuqala kanye nokuqinisekisa](docs/SUIVI_MOTEURS.md)
Imithombo ebuyekeziwe iyengeza **izingxenye ezilawulwayo ozikhethelayo kokuthi Ukucushwa kwe-Windows x64**: Izindawo eziyimfihlo zePython, kuphiniwe amaphrofayili angu-CPU/CUDA, izilinganiso kanye nokuqinisekiswa ngaphambi kokulandwa, ukuqinisekiswa, ukulungiswa nokususwa. Izindlela zotolika ngokwezifiso zihlala ngaphansi kwezinketho ezithuthukisiwe. Izinjini zomdabu ezingu-GGUF zigcina izingxenye zazo ezikhona; iselula nefu ayilandi i-desktop Python/PyTorch. Amaphrofayili amathathu angasese angu-CPU/okuthekelisa asetshenziswa ngokulungiswa kwangempela kokwenziwa; Umnakekeli ubika ukusetshenziswa okuyimpumelelo kwedeskithophu kokuthi 1 Novemba 2026; Amaphrofayili we-GPU kanye nokufakwa kwe-clean-PC kusadinga ukuqinisekiswa okuhlukene, okunemininingwane. [Amaphrofayela nemikhawulo yokuhlola](docs/REPRISE_COMPOSANTS_GERES_80_LANGUES.md). Ukushumeka isitaki kokuthi EXE kuhlehlisiwe.
## 80 izilimi zesixhumi esibonakalayo nokuhluka
**Wonke amakhathalogi angu-80 amboza okhiye bamanje besiNgisi abangu-2,429** kuzo zonke izikhala zamagama ezingu-15, okuhlanganisa amamenyu, izilungiselelo, izilungiselelo, usizo nezilawuli zemidiya. Amafomu amaningi kanye nesiqondiso se-interface silandela ulimi olukhethiwe. Izilimi zokuphendula nezezwi zincike ngokuhlukene kumodeli.
Lokhu kufakwa kwezobuchwepheshe akuqinisekisi ikhwalithi yolimi: **Ukubuyekezwa komdabu kanye nokujwayela kwesifunda kusadingeka**. Bona amalebula omdabu kanye nemikhawulo eyaziwayo kokuthi [umhlahlandlela wolimi](docs/LANGUAGES.md) kanye [umbiko wokucwaningwa kwamabhuku](deliverables/interface-audit-2026-10-29/RAPPORT.md).
## Ukusiza abantu, kuyo yonke imikhakha
Ngale kwesikole nemfundo, isifiso sethu ukusiza abantu bafunde, baxazulule izinkinga, bakhe futhi bathuthukise amaphrojekthi awusizo emhlabeni wonke. Novera ihlose ukwenza intuthuko yamanje engu-AI ibe lula ukuyiqonda futhi isetshenziswe, kuzo zonke izilimi, amazinga esipiliyoni kanye nehardware etholakalayo.
| Imikhakha esifuna ukuyisiza ukuthi ithuthuke | Izibonelo zeminikelo ewusizo |
| --- | --- |
| Izikole, imfundo nokufunda impilo yonke | Chaza imiqondo, lungisa izinto zokufunda futhi usekele othisha, abafundi nemindeni. |
| Ucwaningo, isayensi nesikhala | Hlola izincwadi, chaza izindlela, hlaziya idatha futhi wabelane ngolwazi. |
| Ezempilo, ukunakekelwa kanye nokwesekwa komphakathi | Yenza ulwazi lube lula ukuqonda futhi usekele ucwaningo nokugeleza komsebenzi okuchwepheshile. |
| Ezolimo, ukudla kanye nemiphakathi yasemakhaya | Yabelana ngolwazi olusebenzayo, usekele ukuhlela futhi uthuthukise amathuluzi awusizo endaweni. |
| Imvelo, isimo sezulu, amanzi kanye nezinhlobonhlobo zezinto eziphilayo | Chaza ubufakazi, ukusekela ukubonwa futhi usize imiphakathi ihlele amaphrojekthi. |
| Amandla, imboni, ezokwakha kanye nemisebenzi yezandla | Amadokhumenti asekelayo, idizayini, ukulungiswa, ukufunda ngobuchwepheshe kanye nokuthuthukiswa kwenqubo. |
| Amabhizinisi, ezohwebo, ezezimali kanye nokuqashwa | Siza ukuhlela umsebenzi, ukuqonda ulwazi, ukuthuthukisa amaphrojekthi nokufunda amakhono ochwepheshe. |
| Izinsizakalo zomphakathi, umthetho nokubamba iqhaza komphakathi | Yenza imibhalo nezinqubo kube lula ukuqondisisa kanye nolwazi olufinyeleleka kalula. |
| Ikhompyutha, i-cybersecurity, amarobhothi kanye nezokuxhumana | Siza ukuthuthukisa isofthiwe, ukuqonda amasistimu nokwakha amathuluzi awusizo. |
| Ubuciko, amasiko, abezindaba, izilimi namagugu | Ukusekela ukubhala, ukuhumusha, izithombe, ividiyo, amaphrojekthi wokudala nokwabelana ngamasiko. |
| Ezokuthutha, ezokuthutha, ezokuvakasha, ezemidlalo kanye nempilo yomphakathi | Usizo ngokuhlela, ukuxhumana, ukufunda kanye nezinhlelo zasendaweni. |
| Ukufinyeleleka, umsebenzi wokusiza abantu kanye nempilo yansuku zonke | Yehlisa izithiyo zolimi nolwazi futhi usekele abantu ngosizo olungokoqobo. |
Lezi izikhombisi-ndlela zokunikela nokuthuthukiswa, hhayi isimangalo sokuthi zonke izicelo eziqondene nomkhakha sezivele zilethiwe noma seziqinisekisiwe. Sifuna isiqondiso esilula sokusetshenziswa kwansuku zonke, izinketho ezicacile ezithuthukisiwe lapho zidingeka, izingxenyekazi zekhompuyutha ezibonisa ngale kanye nezidingo zamafu, nokubambisana nabantu abazi inkambu ngayinye nomongo wendawo.
## Isimo sephrojekthi
**Novera 1.0.0 ikhona kubo Windows, Linux, macOS kanye ne-Android.** Isithombe-skrini sibonisa uhlelo lokusebenza lwe-Windows oluhlanganiswe endaweni ngumnakekeli. Izinguquko zomthombo, izivivinyo eziqondiwe kanye nokuqinisekiswa kwehadiwe kubhalwa ngokuhlukene; lokhu akuqinisekisi yonke imodeli, inkundla noma i-akhawunti yamafu.
Ukwakhiwa kweManuwali GitHub Actions kunikwe amandla kuzo zonke izinhlobo zokusabalalisa eziyishumi nanye. Landela i- [imiphumela yokwakha nokulandwa kwekhandidethi okuqinisekisiwe](docs/CI_DISTRIBUTIONS.md); ukutholakala kurekhodwa ngokwehlukana kungxenyekazi ngayinye. Abazokhethwa bahlukile kokukhishwayo okusayiniwe. Izidingo zokusabalalisa zichazwe ku [inqubomgomo yokukhishwa esemthethweni](OFFICIAL_RELEASES.md) kanye [ikhasi lokukhishwa](https://github.com/TRON-ABS/Novera/releases). Amakhandidethi akhona akhubazekile ahlala engaphakathi. Ukukhishwa komphakathi kudinga indlela yokubuyekeza emisiwe neqinisekisiwe; [ukuhlolwa kwesiginesha yedeskithophu kanye nezidingo ezisele zokuqalisa zibhaliwe](docs/LAUNCH_STATUS.md).
## Imibhalo neminikelo
- [Umhlahlandlela womsebenzisi onemininingwane](docs/USER_GUIDE.md), [imithetho yegolide yomkhiqizo nolwazi lomsebenzisi (isiFulentshi)](docs/REGLES_D_OR.md), [amamodeli nezinjini](docs/SUIVI_MOTEURS.md).
- [Intuthuko](docs/DEVELOPMENT.md), [umhlahlandlela wokwakha nowokukhipha](docs/BUILD_AND_RELEASE.md), [izinguqulo zesikhathi esizayo kanye nokubuyekeza ukulungiswa](docs/FUTURES_VERSIONS.md).
- [Ideshibhodi yephrojekthi](TABLEAU_DE_BORD_NOVERA.md), [umgwaqo](ROADMAP.md), [ushintsho](docs/CHANGELOG.md).
- [Uyanikela](CONTRIBUTING.md): ikhodi, izivivinyo, isibuyekezo somdabu kuzo zonke izilimi ezingu-80 kanye nempendulo yangempela yokuhamba komsebenzi.
## Ubunikazi kanye nelayisensi
Novera igcinwa ngu **TRON-ABS** phakathi [lesi sakhiwo](https://github.com/TRON-ABS/Novera). Bona i- [inqubomgomo kamazisi](BRANDING.md) kanye [inqubomgomo yokukhishwa esemthethweni](OFFICIAL_RELEASES.md).
Novera yakhela phezu [Jan](https://github.com/janhq/jan), idalwe ngu-Menlo Research kanye nabanikeli bayo. Izichasiso zangempela nezangaphandle kanye ne [Apache 2.0 ilayisensi](LICENSE) zigciniwe. Ukulanda okungu-Jan akukona ukukhishwa okungu-Novera.
## Sekela Novera
Njengomcwaningi ozimele, ngiyazi ukuthi ukuntuleka kwezimali kungenza kube nzima kanjani ukuqhubeka nocwaningo.
Uma ungathanda ukuba yingxenye ye-Novera adventure, ungakwazi ukusekela ucwaningo lwami kanye nokuthuthukiswa kwephrojekthi ngokunikela ngokuzithandela bitcoin a.
Siyabonga kuwo wonke umuntu ngoxhaso lwenu, iminikelo, impendulo kanye nesikhuthazo. Konke ukuthinta kubalulekile kule adventure!
**Bitcoin (BTC) — Bitcoin inethiwekhi**
Ikheli lokuthola: `17TXpB1aBj5DxjwEfM3K44zyqhixRzY78i`
Ukuze ufake isandla, skena le khodi QR ngesikhwama sakho semali noma kopisha ikheli elingenhla. Khetha **Bitcoin (BTC), kunethiwekhi Bitcoin**, bese ukhetha noma yiliphi inani olifisayo.
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Kuwo wonke umuntu oqala uhambo lwakhe ngokuthi Novera: sengathi ilukuluku lakho lingavula iminyango emisha, imibono yakho ibe nempilo futhi yonke indalo ikuqhubekisele phambili kancane.
TRON-ABS
Mnu Sachet Jean-Marc - Umcwaningi ozimele - France
Ubuciko bomuntu nge-AI
Siyabonga kuwo wonke umuntu obambe iqhaza emhlabeni ongcono. Ngokuthola kwabo, umsebenzi, ukwesekana kanye nolwazi abaludluliselayo, basisize safinyelela lapho sikhona namuhla.
Sibafisela okuhle kodwa ngekusasa, kanye nawo wonke umuntu onalo moya wokwabelana nokusiza abanye phambili.
Ithuluzi lokuthuthukisa: 🧠 Codex — GPT-6.1 Sol