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// GLM / CogVideoX (Z.ai) · Text LLM

GLM-4.7: VRAM & local deployment

358.3B (MoE) parameters. About 243 GB at 4-bit and 792 GB at BF16 with one 8K-token request.

released 2025-12-22licence: Commercial OKmemory figures are estimates

01Specs

PublisherZ.ai (Zhipu) · zai-org
Family / seriesGLM / CogVideoX (Z.ai) · GLM-4.7
TypeText LLM (text-generation)
Parameters358.3B (MoE) Source: counted from official safetensors weights
Context length198K tokens (202,752)max_position_embeddings in config.json
Architecture92 layers · GQA · MoE
Released weightsBF16 · 717 GBdownload
LicenceMIT · Commercial OKPermissive licence (Apache-2.0 / MIT / CC-BY / OpenMDW): commercial use allowed.
Released2025-12-22 (Hugging Face repo created)

02How much VRAM it needs (estimate)

Total = weights + 10% + 0.5GB overhead + KV cache for one request (FP16 KV). More concurrent users multiply the KV column.

PrecisionWeightsTotal @ 8KTotal @ 32KTotal @ 128KSmallest GPUMac
BF16 / FP16 (original)717 GB 792 GB801 GB838 GB 8 × H200 (1,128GB)—
FP8 / INT8 / Q8_0381 GB 422 GB432 GB469 GB 8 × H100 (640GB)—
4-bit (Q4_K_M / AWQ / GPTQ-Int4)217 GB 243 GB252 GB289 GB 4 × RTX PRO 6000 (384GB)Mac 512GB

KV cache per request: 8K 3.1 GB · 32K 12.3 GB · 128K 49.4 GB

Bits per weight: BF16 16, FP8 8.5, 4-bit 4.85. “Fits” = total ≤ 90% of memory; Mac GPU can use ~2/3 of unified memory (≤36GB) or ~3/4 (larger). For MoE, all experts must be in memory, so size by total parameters. Method →

03How to run it

Only runtimes the publisher or the runtime’s official library names for this model.

Which inference engine to choose →

04Official repositories & quantised builds

2 official repo(s) from zai-org.

05Other GLM / CogVideoX (Z.ai) models

All 35 →
ModelParams4-bit totalReleased
GLM-5.3753.3B504 GB2026-08-25
GLM-5.3-Flash320B / 18B214 GB2026-08-25
GLM-5.2753.3B504 GB2026-06-16
SCAIL-2——2026-06-09
GLM-5.1753.9B504 GB2026-04-03
GLM-5744B / 40B497 GB2026-02-11
GLM-OCR1.32B1.9 GB2026-01-30
GLM-4.7-Flash31.2B / 3B21.8 GB2026-01-19

06Sources

Data checked 2026-01-29. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

Data updated: Self-host open models(UTC+8)