InoteveraGaidhi rinotevera
Kuchekwa kweModel
Tekinoroji
Nhungamiro yehunyanzvi
Mafomati eModel Serialization
Model serialization ndiyo nzira yakadzidziswa muchina yekudzidza modhi inochengetedzwa kudhisiki kuitira kuti igone kutakurwa nekumhanya gare gare, pamuchina wakasiyana kana mune mumwe mutauro.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
The format you choose affects portability, speed, file size, and even security.
Kudzika Kwakadzika
After training, a model is just numbers (weights) plus a description of its architecture. Serialization writes that state into a file. Different ecosystems use different formats. Python pickle can execute arbitrary code when loading untrusted data. Many PyTorch checkpoints use pickle-based serialization, but torch.load security behavior is version-sensitive: PyTorch 2.6 and later default to weights_only=True when no pickle module is specified. Check the installed documentation and avoid disabling this protection for untrusted files. ONNX (Open Neural Network Exchange) is a framework-neutral format that lets a model trained in PyTorch run in another runtime or language. TensorFlow SavedModel is a directory format used for serving. Keras 3 saves to the native .keras format by default; its model.export API can produce a SavedModel for TensorFlow serving. Check the version-specific API. For large language models, safetensors has become popular because it stores only tensor data in a simple, fast, memory-mappable layout with no code execution, making it both safer and quicker to load. GGUF is widely used for running quantized LLMs efficiently on local hardware.
Kuitwa muNyika yeChokwadi
Chikwata chinodzidzisa modhi muPyTorch, inoitumira kune ONNX, uye inomhanyisa mukati meC # application isina kutsamira paPython.
Hugging Face inogovera uremu hwemhando sedziviriro kuitira kuti vashandisi vakwanise kuidhawunirodha pasina njodzi yekuuraiwa kwekodhi kodhi.
Mugadziri anodhawunirodha faira reGGUF rehuwandu hweLLM kuti imhanye munharaunda pane laptop CPU.
Sevhisi yeTensorFlow inorodha SavedModel dhairekitori rine girafu uye zvinosiyana zvekushandira fungidziro kuburikidza neAPI.
Ramangwana reMuenzaniso Serialization Mafomati
Tarisira kuenderera mberi kwekubatanidza kune akachengeteka, anotakurika mafomati. Safetensors yave kuita yekusarudzika yekugovanisa modhi uremu pachena nekuti inobvisa iyo kodhi-yekuuraya njodzi yepickle, uye GGUF ndiyo de facto chiyero chemunharaunda LLM inference nequantization. ONNX inoramba ichikura sebhiriji pakati pezvirongwa zvekudzidzisa uye yakagadziridzwa yekumisikidza nguva pamidziyo yemupendero, mabhurawuza, uye accelerator. Pakazara maitiro anofarira mafomati asina kwaakarerekera emutauro, ndangariro-inoshanda, uye akachengeteka nedhizaini.
Kuzvishandisa
Nei zvichikosha
- Mutengo uye bhajeti. Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.
- Sarudzo dzakajeka. Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.
- Kudzora kwemhando yepamusoro. Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.
Chenjera
- Kugadzirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba.
- Infrastructure uye mari yekugadzirisa inowanzotarisirwa pasi.
- Chengetedzo uye kucherechedzwa mapundu anogona kukura sezvo masisitimu anowedzera kuoma.
Matanho anotevera
- Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.
- Benchmark pasi pechokwadi mutoro uye data mamiriro.
- Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
- Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.
Ramba Uchiongorora
Tsamba yemahara
Tora iyo yemazuva ese AI pfupiso
Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.
Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.
Zviedze iwe pachako
Take the Model Serialization Formats quiz
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Mibvunzo inowanzo bvunzwa
What is Model Serialization Formats?
Model serialization ndiyo nzira yakadzidziswa muchina yekudzidza modhi inochengetedzwa kudhisiki kuitira kuti igone kutakurwa nekumhanya gare gare, pamuchina wakasiyana kana mune mumwe mutauro. Iyo fomati yaunosarudza inokanganisa kutakurika, kumhanya, saizi yefaira, uye kunyangwe kuchengetedzeka.
Sei Python's pickle fomati ichionekwa senjodzi yekuchengetedza yemhando?
Unpickling inogona kumhanyisa kodhi kodhi, saka kurodha isina kuvimbika pickle faira kunogona kukanganisa system yako.
Ndeipi mukana mukuru weONNX fomati?
ONNX chimiro-chisina kwazvakarerekera chekuchinjana fomati, chinogonesa kutakurika mukati menguva dzese dzekumhanya, mitauro, uye hardware.
Sei zvinodzivirira zvave zvakakurumbira pakugovana maremu emuenzaniso?
Safetensors inodzivirira iyo kodhi-yekuita njodzi yepickle uye inotakura nekukurumidza kuburikidza nemepu yekurangarira, ichiita kuti ive yakachengeteka uye inoshanda.
GGUF inonyanya kuenderana neipi kesi yekushandisa?
GGUF ndiyo de facto fomati yekugovera nekumhanyisa maLLM munzvimbo uye nemazvo.
Chii chinonzi chekuchinjana fomati seONNX inonyanya kuchengetedza?
ONNX inotora iyo modhi yemakomputa girafu uye maparamendi mune yakajairwa schema saka chero inoenderana nguva yekumhanya inogona kuiita.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi