Model overview
NVFP4 (4-bit float, group size 16) quantization of `zai-org/GLM-5.3-Flash`, covering the routed experts of **every** MoE layer — including layer 45, the multi-token-prediction (MTP) layer — in a **single, uniform** scheme. **No calibration data is used in this quantization step**, and none is needed: the scheme quantizes each group of 16 weights with a scale derived from those 16 values (`memoryless_minmax`), so there is no forward pass for calibration data to inform. The checkpoint contains no activation-scale tensors and declares `input_activations: null`. `num_hidden_layers: 45` plus `num_nextn_predict_layers: 1` puts the MTP layer at index **45**, and it is not a small head: 288 routed experts, ~7.25 B parameters, its own DSA attention and `eh_proj`/`enorm`/`hnorm` plumbing. Keeping it in the same scheme as every other expert layer means the checkpoint has one expert layout throughout — 37,152 packed expert tensors (43 × 288 × 3).
Key features
特点摘要待依据来源补齐,不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
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。
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Sources & traceability
许可证:mit。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。