APEX is a quantization strategy for Mixture-of-Experts (MoE) models. It classifies tensors by role (routed expert, shared expert, attention) and applies a layer-wise precision gradient -- edge layers get higher precision, middle layers get more aggressive compression. I-variants use diverse imatrix calibration (chat, code, reasoning, tool-calling, agentic traces, Wikipedia).
See the
APEX project
for full details, technical report, and scripts.
Architecture
Model
: Step-3.5-Flash (Step3p5)
Layers
: 45 (3 dense + 42 MoE)
Experts
: 288 routed + 1 shared (top-8 active per token)
Step-3.5-Flash-APEX-GGUF huggingface.co is an AI model on huggingface.co that provides Step-3.5-Flash-APEX-GGUF's model effect (), which can be used instantly with this mudler Step-3.5-Flash-APEX-GGUF model. huggingface.co supports a free trial of the Step-3.5-Flash-APEX-GGUF model, and also provides paid use of the Step-3.5-Flash-APEX-GGUF. Support call Step-3.5-Flash-APEX-GGUF model through api, including Node.js, Python, http.
Step-3.5-Flash-APEX-GGUF huggingface.co is an online trial and call api platform, which integrates Step-3.5-Flash-APEX-GGUF's modeling effects, including api services, and provides a free online trial of Step-3.5-Flash-APEX-GGUF, you can try Step-3.5-Flash-APEX-GGUF online for free by clicking the link below.
mudler Step-3.5-Flash-APEX-GGUF online free url in huggingface.co:
Step-3.5-Flash-APEX-GGUF is an open source model from GitHub that offers a free installation service, and any user can find Step-3.5-Flash-APEX-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of Step-3.5-Flash-APEX-GGUF install, users can directly use Step-3.5-Flash-APEX-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
Step-3.5-Flash-APEX-GGUF install url in huggingface.co: