NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-GGUF

모델 소개

Atomic Dynamic (AD) quants, built from NVIDIA's original BF16 weights with our own importance matrix. Every file here matches or beats the other GGUF builds of the same size or larger, measured side by side on one stand. The calibration corpora behind our builds are public. Every file here was measured against the BF16 original on the same stand as the other publishers' files, and each one beats or ties the file of theirs that is the same size or larger. You can now run Nemotron 3.5 Super in Atomic Chat : 120B total parameters, 12B active per token. See our quantization analysis below for measurements and instructions. Lower is closer to the original. Each purple point is a file in this repo; the grey ones are the other publishers' files, downloaded and measured with exactly the same reference, text and llama.cpp build. At 75 GB, `AD-IQ4_NL` drifts about half as much as both NVFP4 builds, which are the same size or up to 3 GB larger. At 70 GB, `AD-IQ3_M` drifts about half as much as LM Studio's `Q4_K_M` of the same size. At 65 GB, `AD-IQ3_XXS` drifts 20% less than Unsloth's `UD-Q3_K_XL`, and from 46 to 58 GB the `AD-Q2_0_*` files drift 6 to 18% less than the Unsloth file of each size, and at 87 GB `AD-Q4_K_S` drifts 13% less than `UD-Q4_K_XL`.

주요 특징

特点摘要待依据来源补齐，不凭模型名称推断能力。

한계 및 유의 사항

구체적 한계를 판단할 출처가 부족합니다. 실제 성능, 지연, 데이터 정책, 라이선스와 버전 수명을 확인하세요.

출처별 요금 및 비용 분석

요금은 채널, 지역, 설정에 따라 다릅니다. 각 채널 요금은 개별 표시되며 제공사의 통일 공식 요금이 아닙니다.

공개 평가 및 실행 설정

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

자주 묻는 질문

출처 및 추적 기록

许可证：other。模型介绍与第三方评测均以原来源的具体版本和方法为准。