Unverified50% confidenceFactExact time
For a model of approximately 160 GB (such as the UD-Q3_K_XL quantized version of Qwen3.5-397B), running the lens requires approximately 20 GB of additional memory.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/24/2026
First Seen
Valid until: 10/22/2026
Sources
jlens-gguf: Bringing Jacobian Lens Visualization and Steering to llama.cpp Local LLMs
redditr/LocalLLaMA7/12/2026
Related Claims
UnverifiedQwen3-series coding models load at approximately 20 GB and can expand to 35–40 GB during inference.84% similarUnverifiedLlama 3 70B量化版（Q4精度）仍需约35GB内存80% similarVerified8 GB of VRAM is recommended for running 7B models (Q4 quantization), 16 GB for 7B to 14B models, 24 GB for 14B to 32B models, and 32 GB for 32B to 70B models (Q4 quantization)79% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/608392API
curl https://kongchang.com/api/v1/knowledge/claims/608392MCP
get_claim(id=608392)