// GLM / CogVideoX (Z.ai) · Text LLM
glm-edge-1.5b-chat: VRAM & local deployment
1.59B parameters. About 2.0 GB at 4-bit and 4.5 GB at BF16 with one 8K-token request.
released 2024-11-20licence: Custom licence – read itmemory figures are estimates
01Specs
| Publisher | Z.ai (Zhipu) · zai-org |
|---|---|
| Family / series | GLM / CogVideoX (Z.ai) · glm-edge |
| Type | Text LLM (text-generation) |
| Parameters | 1.59B Source: counted from official safetensors weights |
| Context length | 8K tokens (8,192)max_position_embeddings in config.json |
| Architecture | 28 layers · GQA |
| Released weights | BF16 · 3.2 GBdownload |
| Licence | glm-4 · Custom licence – read itThe publisher uses its own licence; we have not classified it. Read the licence text. |
| Released | 2024-11-20 (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.
| Precision | Weights | Total @ 8K | Smallest GPU | Mac |
|---|---|---|---|---|
| BF16 / FP16 (original) | 3.2 GB | 4.5 GB | 8GB GPU | Mac 16GB |
| FP8 / INT8 / Q8_0 | 1.7 GB | 2.8 GB | 8GB GPU | Mac 16GB |
| 4-bit (Q4_K_M / AWQ / GPTQ-Int4) | 1.0 GB | 2.0 GB | 8GB GPU | Mac 16GB |
KV cache per request: 8K 0.5 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.
- Transformers — mentioned in the official model card
- llama.cpp — official GGUF weights
04Official repositories & quantised builds
2 official repo(s) from zai-org.
- glm-edge-1.5b-chat Instruct
- glm-edge-1.5b-chat-gguf Instruct/GGUF
05Other GLM / CogVideoX (Z.ai) models
All 35 →| Model | Params | 4-bit total | Released |
|---|---|---|---|
| glm-edge-4b-chat · same series | 4.33B | 4.4 GB | 2024-11-20 |
| GLM-5.3 | 753.3B | 504 GB | 2026-08-25 |
| GLM-5.3-Flash | 320B / 18B | 214 GB | 2026-08-25 |
| GLM-5.2 | 753.3B | 504 GB | 2026-06-16 |
| SCAIL-2 | — | — | 2026-06-09 |
| GLM-5.1 | 753.9B | 504 GB | 2026-04-03 |
| GLM-5 | 744B / 40B | 497 GB | 2026-02-11 |
| GLM-OCR | 1.32B | 1.9 GB | 2026-01-30 |
| GLM-4.7-Flash | 31.2B / 3B | 21.8 GB | 2026-01-19 |
06Sources
Data checked 2024-11-28. Parameters, context and licence are copied from the official repository; memory figures are our estimates.