Unverified50% confidenceFactExact time
基于 QLoRA 在单张 A100 80GB 显卡上微调 70B 级别的模型已成为可能
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/8/2026
First Seen
Valid until: 10/6/2026
Sources
Unsloth v0.1.45-beta发布：大模型微调提速2倍、显存降低70%
rss6/10/2026
Related Claims
Unverified70B量级模型的全量微调至少需要8张A100 80G显卡80% similarUnverified单卡A100（80GB显存）可运行7B-13B级别模型，4卡A100（320GB显存）可运行70B级别模型75% similarPartially VerifiedQLoRA论文验证了NF4量化配合LoRA微调可在65B参数模型上将显存需求从780GB降至48GB，同时保持接近全精度微调的性能73% similarUnverified配合量化技术（如GGUF格式的4-bit量化），一张消费级显卡（如RTX 4090）即可流畅运行70B参数的模型72% similarVerified以70B参数模型、FP16精度、32层注意力头为例，单条200K长度请求的KV Cache约需80-120GB显存，远超单张A100 GPU的80GB显存上限70% similar
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