Unverified50% confidenceBenchmarkExact time
Fine-tuning gpt-oss-20b with QLoRA requires approximately 14 GB of VRAM, and Unsloth's official recommendation is at least 16 GB.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/11/2026
First Seen
Valid until: 1/9/2027
Sources
Related Entities
Related Claims
UnverifiedPerforming LoRA fine-tuning on gpt-oss-20b with unquantized BF16 weights requires approximately 44 GB of VRAM.79% similarUnverifiedFor 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.79% similarUnverifiedLoading the Qwen3-VL-8B model alone occupies approximately 17–18 GB of VRAM.76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/999483API
curl https://kongchang.com/api/v1/knowledge/claims/999483MCP
get_claim(id=999483)