Unverified50% confidenceFactExact time
原本需要 A100 80GB 才能完成的 70B 参数模型微调任务，在 Unsloth 优化下可以在消费级 RTX 4090（24GB）上运行
1
Sources
50%
Confidence
Long-term
Relevance
7/10/2026
First Seen
Sources
Related Claims
UnverifiedA model with 70 billion parameters (70B) can run on a single RTX 4090 (24GB VRAM) after quantization.84% similarUnverifiedA single A100 (80 GB VRAM) can run 7B–13B scale models, while 4× A100s (320 GB VRAM) can run 70B scale models.74% similarUnverifiedUsers with an NVIDIA RTX 4090 (24 GB VRAM) can run 70B-parameter models locally for personal experimentation and development via 4-bit quantized versions in GGUF format.73% similarUnverifiedIn actual testing, a 1-billion-parameter draft model was mounted onto Qwen3's 3.4B target model for testing on an RTX A6000 (48GB VRAM) machine.73% similarVerifiedAn RTX 3090/4090 with 24GB of VRAM can use Unsloth to fine-tune models in the 7B-13B scale.72% similar
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