InoteveraGaidhi rinotevera
Fine-Tuning vs RAG vs Kukurudzira
Mutauro AI
Mutauro AI GUIDE
QLoRA uye 4-Bit Yakanaka-Tuning
QLoRA idhizaini rinokutendera kuti utarise modhi huru yemutauro pane mutengi mumwechete GPU nekuchengeta modhi yakaomeswa nechando mumabhiti mana chete pahuremu.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
Yakagadzira 65B-parameter modhi inogoneka pane Hardware yaimbokwanisa kubata mamodheru chidimbu chesaizi iyoyo.
Kudzika Kwakadzika
Kazhinji, kugadzirisa zvakanaka modhi hombe kunoreva kurodha huremu hwese mune 16-bit chaiyo uye kugadzirisa ese, izvo zvinoda ndangariro huru. QLoRA inosanganisa pfungwa mbiri. Kutanga, inoomesa modhi yakadzidziswa uye inoiisa pasi kusvika ku4 bits, ichirova ndangariro zvakapetwa kana. Chechipiri, inoshandisa LoRA: pachinzvimbo chekuvandudza huremu huremu matrices, inobaya madiki anodzidzisika epasi-redhiyo adapta matrices padivi pavo, saka mashoma miriyoni paramita anovandudzwa. Iyo 4-bit base inogara yakagadziriswa nepo gradients ichiyerera chete kuburikidza nediki adapter. Yakaunzwa muna 2023 naDettmers nevamwe vaaishanda navo, QLoRA yakaratidza kuti kunyatso-tuning ye65B modhi pane imwe 48GB GPU inogona kuenderana nemhando yeakazara gumi nematanhatu-yakanaka-tuning.
Kuitwa muNyika yeChokwadi
Kutanga kwakanaka-tunes 70B Llama modhi pane imwechete 48GB GPU yekuvaka mutengi-rutsigiro mubatsiri nezwi rayo remhando pasina kuhaya sevha sevha.
Mutsvagiri ane mutengi mumwechete RTX 4090 anogadzirisa yakavhurika modhi kune niche yekurapa mibvunzo-inopindura dhatabheti husiku.
Mugadziri anogadzira akawanda madiki, anochinjika LoRA maadapter emabasa akasiyana, ese achigovana imwe 4-bit base modhi yakarodha mundangariro.
A hobbyist anonatsa modhi pane yavo yekutaura matanda kutevedzera imwe nzira yekunyora vachishandisa yemahara Colab-giredhi hardware.
Ramangwana reQLoRA uye 4-Bit Yakanaka-Tuning
4-bit fine-tuning yave tsika yakajairika, uye tsvagiridzo ikozvino inosundidzira kune yakaderera chaiyo, kusanganisira 2-bit uye 1-bit (ternary) inomiririra. Nyowani quantization zvirongwa seAWQ, GPTQ, uye HQQ inokwenenzvera kuwedzera, nepo matekiniki akadai seQA-LoRA achivavarira kuchengetedza modhi yakaverengerwa kunyangwe mushure mekubatanidza adapter. Sezvo akavhurika-huremu mamodheru achikura, tarisira chishandiso chinobvumira hobbyists kunyatso-tune 70B-plus modhi pane imwechete yekutamba GPU kuti ive tsika, demokrasi kugadzirisa.
Kuzvishandisa
Nei zvichikosha
- Kumhanya uye chiyero. Mutauro workflows inogona kufamba nekukurumidza pasina kupira kuenderana.
- Svika uye svika. Inopamhidzira kupinda mumitauro yese nemataera ekutaurirana.
- Sarudzo dzakajeka. Zvikwata zvinogona kupedza nguva yakawanda pakutonga uku otomatiki ichibata kudzokorora.
Chenjera
- Chokwadi chehuroyi chinogona kupinda chinyararire mishumo, kuyerera kwetsigiro, kana tsvakiridzo.
- Kunzwa nekukasira kunogona kugadzira mhedzisiro isingaenderane pane zvikumbiro zvakafanana.
- Sensitive text data inogona kuburitswa kana zvidhiraivho zvisina kusimba.
Matanho anotevera
- Tsanangura chimiro chekubuda, toni, uye mhando zviyero usati waburitsa.
- Mhinduro dzepasi neakavimbika masosi pese pazvine basa.
- Chengetedza ongororo yekuongorora yemunhu kune yakakwira-stake zvinobuda.
- Tevera maitiro ekutadza uye dzidzisazve kukurudzira kana mafambiro ebasa nguva nenguva.
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 QLoRA and 4-Bit Fine-Tuning 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
Chii chinonzi QLoRA uye 4-Bit Fine-Tuning?
QLoRA idhizaini rinokutendera kuti utarise modhi huru yemutauro pane mutengi mumwechete GPU nekuchengeta modhi yakaomeswa nechando mumabhiti mana chete pahuremu. Yakagadzira 65B-parameter modhi inogoneka pane Hardware yaimbogona kubata mamodheru chidimbu chesaizi iyoyo.
Ndeipi yakakosha ndangariro-yekuchengetedza pfungwa kuseri kwe '4-bit' chikamu cheQLoRA?
QLoRA inochengetedza huremu hwakaomeswa nechando pa4 bits pamutengo, ichicheka ndangariro zvakapetwa kana zvichienzaniswa ne16-bit.
Munguva yeQLoRA-tuning, ndeapi maparamita anogadziridzwa ne gradient descent?
Iyo base modhi yakaomeswa nechando; iyo chete jekiseni yakaderera-chinzvimbo adapta matrices anogashira gradient zvigadziriso, chinova chikamu chidiki chemaparamita.
Chii chinonzi NF4 muchirevo cheQLoRA?
NF4 (NormalFloat 4-bit) imhando yedata rakagadzirirwa kutenderedza bhero-curve kugovera kweneural network uremu kuti inyatso kurongeka pane plain int4.
Ndeipi dambudziko rinoitwa 'paged optimizers' muQLoRA kero?
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.
Ndeapi huremu hwe4-bit hunoshandurwa kudzokera kune chaiyo chaiyo panguva yekudzidziswa?
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.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi