Résumé
Modèle quantisation dafay wàññi reso neuronal bi ci denc ay nimero ci bit yu néew, suko defee benn model bi di gëna gaaw ci hardware bu gëna ndaw. Moo tax model yu mag yi mëna ànd ak benn GPU, ordinatër portable wala sax telefon.
Model Quantization ab bloku tabax xarala la buy indi njeexital ci kalite model bi, njëgu infrastructure bi, latency bi, ak wóor ci escale bi.
Plongeur bu xóot
Modèle yiñ tàggat dañuy denc poid bu nekk ci nimero flottant bu 32 wala 16 bit. Kantitasioŋ mooy wecci formaa yi am 8-bit integer (INT8) wala 4-bit valeur (INT4), dagg mémoire bi lu tollu ci 4x ba 8x. Benn model bu am 70 milyaar ci paramet yi soxla lu tollu ci 140GB ci 16-bit mën na wàcci ci 35GB ci 4-bit, mu méngoo ak benn GPU konsomatër. Li gëna am solo mooy njub: soo boole ay valeur yu bari ci 256 wala 16 seau, dafay ñàkk ay detay. Pexe yu bees yu melni GPTQ, AWQ, ak format NF4 yi ñuy jëfandikoo ci QLoRA dañuy tànn facteur scaling yu xarañ yi ba noppi aar poid yi gëna sensitif, moo tax perte kalite bi dafay faral di tuuti. Kantite moo waral jumtukaay yu melni llama.cpp ak Ollama mëna doxal model yu mëna def ci gox bi te amul benn santu done.
Gis-gis xarala
Kantitasioŋ dafay wane valeur dëgg yi ci griy bu ndaw bu amul benn poñ: stored_int = rond (valeur / poñ_nul) + poñ_nul. Tann balans bi bu baax mooy jeu bi yépp. Balaas bu chaine bu nekk wala groupe bu nekk dafay tàqale balance yi ngir daggitu matrix bu diisaay bi, ba noppi di tëye njubte gi ci barab bi war. Post-training quantization dafay soppi model bu jeex, ci noonu la taggat xam-xam quantisation simulate rounding ci diiru taggat suko defee reso bi jàng muñ ko, lu bari ci joxe low-bit accuracy.
Mastering model kantite
Modèle quantisation dafay wàññi reso neuronal bi ci denc ay nimero ci bit yu néew, suko defee benn model bi di gëna gaaw ci hardware bu gëna ndaw. Moo tax model yu mag yi mëna ànd ak benn GPU, ordinatër portable wala sax telefon. Model Quantization ab bloku tabax xarala la buy indi njeexital ci kalite model bi, njëgu infrastructure bi, latency bi, ak wóor ci escale bi. Ngir tabax xam-xam bu xóot, jàppal Model Quantization ni modelu liggéey, du benn man-man: leeral njariñ yi nga bëgg, leeralal xalaat yi, ba noppi tàqale li sistem bi mëna def ci anam wu wóor ak li ba leegi soxla àtteb kàngam.
Ci jëf, ekip yu am doole yiy jëfandikoo Model Quantization dañuy gëna baaxal architecture, done, ak tànneefi infrastructure ci wàllu wóor ak njëg. Dañuy bind kritër yu leer ngir am ndam, natt leen ci done yu dëggu ak def liggéey, ba noppi ñu baamtu ci anamu ñàkka mëna seetlu, du ci benn yoon benchmark wins. Mooy barab bi xam-xam theorie bi di soppiku nekk kàttan buy yàgg ci produit yi, ci politik yi ak ci liggéey yi.
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw. Ci jamano jooju, Optimisation benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi. Xeetu jëf bi gëna dëgër mooy boole gaawaayu jàngat ak disipline nguur: doxal pilote, jàpp firnde, siiwal dogal yi, ak wéy di yeesal kaaraange gi ci anam wi ñuy doxalee, li jëfandikukat bi di xaar, ak sàrti sàrt yi di jëm kanam.
njeextalu pexe
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw.
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal.
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi.
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Doxal ci àdduna dëgg
Doxal xeetu Llama 7B wala 13B ci kaw ordinatër portable ak llama.cpp wala Ollama di jëfandikoo fichier GGUF 4-bit.
QLoRA defay ajuste ab model bu rëy ci benn GPU ci tëye poids yu njëkk yi ci 4-bit NF4.
Taxawal xeetu INT8 ci telefon yi am runtimes ci aparey bi suko defee assistant yi liggéey ci offline wala ci seen bopp.
Liggéeyukaay API yu gëna yomb fu INT8 / FP8 kantite lu tollu ci ñaari yoon produit bi ak wàññi njëgu mémoire bi.
Modèlu jëfandikoo
Modèlu kantite ci jëf
Doxal xeetu Llama 7B wala 13B ci kaw ordinatër portable ak llama.cpp wala Ollama di jëfandikoo fichier GGUF 4-bit.
Doxal benn 7B wala 13B Llama model ci ordinatër portable ak llama.cpp wala Ollama jëfandikoo fichier GGUF 4-bit Teams yi dañuy faral di am njariñ yu gëna baax suñu leeralee threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit ak njëgu njuumte ci diir bi.
Modèlu kantite ci jëf
QLoRA defay ajuste ab model bu rëy ci benn GPU ci tëye poids yu njëkk yi ci 4-bit NF4.
QLoRA fine-tuning benn model bu rëy ci benn GPU ci tëye poid yu njëkk yi ci 4-bit NF4 Teams dañuy faral di am njariñ yu gëna baax suñu joxee thresholds yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit ak njuumte ci diir bi.
Modèlu kantite ci jëf
Taxawal xeetu INT8 ci telefon yi am runtimes ci aparey bi suko defee assistant yi liggéey ci offline wala ci seen bopp.
Taxawal xeetu INT8 ci telefon yi am runtimes ci aparey bi, suko defee assistant yi liggéey ci offline ak ci seen bopp. Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit yi ak njëgu njuumte yi ci diir bi.
Modèlu kantite ci jëf
Liggéeyukaay API yu gëna yomb fu INT8 / FP8 kantite lu tollu ci ñaari yoon produit bi ak wàññi njëgu mémoire bi.
Serwiis API endpoints bu gëna yomb fu INT8 / FP8 quantization lu tollu ci ñaari yoon produit bi ak dagg mémoire bi Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee thresholds yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit yi ak njëgu njuumte yi ci diir bi.
Risk yi ak balustrade yi
Optimize benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi.
Njëg li ñuy fay ci infrastructure yi ak ci toppatoo dañuy faral di suufeel.
Bu sistem yi di gëna xawa jafee xam, jafe-jafe yi am ci wàllu kaaraange ak seetlu mën nañu gëna bari.
Roadmap ngir samp gi
Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo.
Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Benchmark ci biir sargal ak done yu dëggu.
Benchmark ci biir sargal ak done yu dëggu. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.