ambiguous · filed under inference & serving
GGUF
The evidence identifies GGUF as a model-weight format but does not specify a quantization level or algorithm.
Also called GGUF (GPT-Generated Unified Format), GGUF quantization.
- sources
- 2
- model
- 1
- lab adopt it
- 1
- strongest
- used
How sources treat it
One count per evidence span, weakest treatment to strongest.
optional 1used 1
Documented in
Evidence
2 spans quoted from the sources, strongest treatment first.
Released under Apache 2.0 with BF16, FP8, NVFP4, and GGUF weights on Hugging Face
usedsoftware implementationin Step 3.7 FlashStepFun
GGUF: https://huggingface.co/stepfun-ai/Step-3.7-Flash-GGUF
optionalsoftware implementationin Step 3.7 FlashStepFun
Filed alongside
Other methods under inference & serving :: inference quantization.
FP8 KV-cache quantizationFP8FP4 KV-cache quantizationNVFP4 quantizationFour-Over-SixMXFP4 weight quantizationPost-training quantizationQuantizationBlock-scaled INT8 quantization with stochastic roundingFP8 E4M3 quantizationMax-based scalingMSE-based scalingMXFP8 activation quantizationNVFP4 KV-cache quantizationNVFP4 ModelOpt re-quantizationSSM cache quantizationAWQ INT4 weight quantization (W4A16)BF16 inferenceBlock-wise E4M3 FP8 weight quantizationChannel-wise quantizationDynamic activation scalingEmbedding and KV-cache quantizationEmpirical bits-per-element budget selectionFine-grained FP8 quantization