Unverified80% confidenceFactExact time
Llama 3.1 7B量化后仅需约4-5GB显存即可运行
1
Sources
80%
Confidence
Long-term
Relevance
5/25/2026
First Seen
Sources
Practical Guide to Building Multi-Agent Collaborative Applications with CrewAI + FastAPI
bilibili大模型教程5/25/2026
Related Entities
Related Claims
UnverifiedFull fine-tuning of Llama-3 (8B) requires approximately 80 GB or more of VRAM, while Llama-3 (70B) requires more than 400 GB.81% similarUnverifiedLlama 3 8B模型(80亿参数)运行约需7GB显存80% similarUnverifiedThe Llama 3.1 405B version requires approximately 640 GB of VRAM to fully load and run.80% similarUnverifiedUnder hardware conditions of 16 GB of memory, only models within 5 GB can be accommodated, so the developer used the Qwen 2.5 7B 4-bit quantized model, which is approximately 4.8 GB in size, with an 8K context window.77% similarUnverifiedAfter 4-bit quantization, Llama 3.3 70B has a model size of approximately 40 GB and can run on a Mac Studio with 64 GB of memory or a single professional GPU with 48 GB of VRAM.76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1578API
curl https://kongchang.com/api/v1/knowledge/claims/1578MCP
get_claim(id=1578)