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Menala semula LLM 20B dengan RLHF pada GPU pengguna 24GB
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Brief
Hugging Face menerangkan kaedah menala semula model bahasa berskala 20 bilion parameter menggunakan RLHF pada GPU pengguna 24GB. Kandungan menerangkan teknik, batasan memori dan langkah praktikal untuk menjalankan RLHF pada perkakasan terhad.
Why It Matters
Pendekatan ini memberi peluang kepada penyelidik dan pembangun menjalankan RLHF pada perkakasan pengguna tanpa kos infrastruktur pusat yang tinggi.
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