Ci bi mu melGis bi ci topp
Akordement bu baax ak RAG ak laaj
IA làkk
Làkk AI GUIDE
QLoRA ak 4-bit
QLoRA xarala la bu lay may nga defar modelu làkk bu mag ci benn GPU konsomatër ci denc model bu liw ci 4 bits ci poid bu nekk.
Déglul tegtal biiIA-nettali · ~2 min
Ci xët wii2 simili jàng
Résumé
Dafa may ñu mëna tànn seeni model 65B-parametre ci hardware bi njëkkoon mënoon jëfandikoo model yu tuuti ci dayo boobu.
Plongeur bu xóot
Daanaka, defar model bu rëy mooy nga sarse bepp poids ci 16-bit ci njub, nga yeesal leen ñépp, te loolu dafay laaj memory bu bari. QLoRA dafa boole ñaari xalaat. Bi njëkk mooy dafay gelé model biñ njëkka tàggat ba noppi wàññi ko ba 4 bit, dagg mémoire bi lu tollu ci ñeenti yoon. Ñaareel ba mooy jëfandikoo LoRA: ludul yeesal matris yu mag yi, dafay dugal matris adaptatër yu ndaw yuñ mëna tàggat ci seen wet, suko defee ay milioŋ yu néew ci parametre yi kese lañuy yeesal. Base 4-bit bi dafay des ci barab bi gradient yi di jaar ci adaptatër yu ndaw yi kese. Dettmers ak ay naataangoom ñoo ko dugal ci 2023, QLoRA dafa wane ni defar model 65B ci benn GPU 48GB mën na méngoo ak kalite defar 16-bit.
Doxal ci àdduna dëgg
Benn startup dafa defar benn model Llama 70B ci benn GPU bu 48GB ngir tabax assistant buy jàppale kiliyaan yi ci baat màrkam boppam te du luwe benn serwër.
Gëstukat bu am benn konsomatër RTX 4090 dafay méngale xeetu ubbeeku ak benn niche medikaal laaj-tontu done ci guddi gi.
Developpeur bi dafay defar ay fukki-fukki adaptatëri LoRA yu ndaw yuñ mëna weccoo ngir ay liggéey yu wuute, ñoom ñépp bokk benn modelu base bu 4-bit buñ sarse ci memory bi.
Ab hobbyist dafay defar ab model ci seen chat log ngir toppandoo benn stil bind ci ay aparey yu Colab.
Ëlëgu QLoRA ak 4-Bit
4-bit fine-tuning nekk na jëf buñ miin, te leegi gëstu yi dañuy push ci gëna néew njub, boole ci 2-bit ak 1-bit (ternaire) représentation. Xeetu kantite yu bees yu melni AWQ, GPTQ, ak HQQ dañuy gëna setal njub, ci noonu la pexe yu melni QA-LoRA di fexe ba model bi gëna kantite doonte dañu boole adaptatër yi. Lu model yu ubbeeku yi di màgg, xaarandi jumtukaay yuy may hobbyist yi ñu defar model 70B-plus ci benn GPU gaming ngir nekk lu ñuy faral di def, di demokratise personalisation.
Teg ko ci jëf
Lu tax mu am solo
- Gaawaay ak yaatuwaay. Liggéeyukaay yi ci làkk yi mën nañu gëna gaaw te duñu yàq deggoo gi.
- Dugg ak yegg. Dafay yaatal jëfandikoo gi ci làkk yi ak ci anam yi ñuy jokkoo.
- dogal yu gëna leer. Ekip yi mën nañu gëna yàgg ci àtte ci jamono ji otomatisation di liggéey ci baamtu.
Moytul
- Lépp lu jaarul yoon mën na dugg ci rapoor yi, jàppale ci liggéey bi, wala ci njariñu gëstu bi.
- Sensibilite bu gaaw mën na jur njariñ yu wuute ci laajte yu noonu mel.
- Done yu am solo mën nañu feeñ sudee seytu jëfandikoo gi néew doole.
Jéego yi ci topp
- Mandargal formaa génne gi, melokaan bi, ak standard kalite yi laata ngay dugal ko.
- Tontu yu am solo ak balluwaay yu wóor saa yu dëggu bi di am solo.
- Fexeel am barabu xool nit ñi ngir am njariñ yu am solo.
- Toppal anami gacce yi ak di faral di tàggataat ay laaj wala def-liggéey.
Weyal di banneexu
Bulletin bu amul fayda
Jàngal xibaar AI bu bes
Ñatti jaar-jaari IA yuñ firndeel bis bu nekk ci ayu-bis bi, ñu bind leen ci Àngle bu leer. Gratis ba fàww, amul yëgle.
Benn email bis bu nekk ci ayu-bis bi. Benn klik nga dindi abonemaa bi. Dunu musa jaay wala séddoo sa adres.
Nattal sa bopp
Take the QLoRA and 4-Bit Fine-Tuning quiz
Feedback ci saasi ci bépp tontu, ak sertifikaa buñ mëna séddoo ak ID buñ mëna saytu soo jàllee ci njàng mi.
Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax
Laaj yi ñuy faral di laaj
Luy QLoRA ak 4-bit
QLoRA xarala la bu lay may nga defar modelu làkk bu mag ci benn GPU konsomatër ci denc model bu liw ci 4 bits ci poid bu nekk. Dafa may ñu mëna tànn seeni model 65B-parametre ci hardware bi njëkkoon mënoon jëfandikoo model yu tuuti ci dayo boobu.
Lan mooy xalaatu sakkanal mémoire bi ci ginaaw wàllu '4-bit' ci QLoRA?
QLoRA dafay denc poid yiñ njëkka tàggat ci 4 bit ci valeur bu nekk, dagg mémoire bi lu tollu ci ñeenti yoon sunu ko méngale ak 16-bit.
Ci diiru ajustement QLoRA, ban parametre lañuy yeesal ci wàccinu gradient bi?
Modèle de base bi dafa gelé; matris adaptatëru rang bu woyof biñ injekte rek mooy am coppite ci gradient bi, muy benn wàll bu ndaw ci parametre yi.
Luy NF4 ci wàllu QLoRA?
NF4 (NormalFloat 4-bit) xeetu done la buñ defaree ci seddaleb courbe cloche bu diisaayu reso neuronal ngir gëna dëggu int4 bu leer.
Ban jafe-jafe la 'optimiser paged' yi ci QLoRA di saafara?
Paged optimizers use NVIDIA unified memory to page optimizer states between GPU and CPU memory as needed; the QLoRA paper says this helps manage memory spikes and reduce out-of-memory risk during long-sequence fine-tuning.
Kañ lañuy soppi poid 4-bit yi ñu delloo ci gëna dëggu ci diiru tàggat yaram?
During a matrix multiplication, quantized weights are dequantized on the fly to a higher-precision compute dtype (for example, BF16 or FP16 in QLoRA configurations); the temporary higher-precision values are not stored as a full base-model copy.
Weyal di jàng
Gid yu jëm ci loolu
Tann nañu yeneen njiit ngir topic bii