zai-org/GLM-5.3-Flash
image-text-to-text model by zai-org
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Model card & documentation
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We introduce GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series. With 320B total parameters and just 18B active parameters, it outperforms GLM-5.2 across benchmarks and real-world workloads at one-tenth the price, while approaching Claude Opus 4.8 on coding and agentic benchmarks. GLM-5.3-Flash starts from a newly trained base model, with its architecture and training recipe redesigned around capability and efficiency. For the first time in the GLM series, we introduce a hybrid architecture combining sparse and linear attention, sharply reducing long-context serving costs while preserving precise…
Read the full model card ↗ · Preview checked 2026-10-29T08:09:46.194Z
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Model overview
zai-org/GLM-5.3-Flash is a image-text-to-text model repository published by zai-org on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- transformers
- Recent downloads (30 days)
- 6,360,678
- Cumulative likes
- 3,001
- Hugging Face trending score
- 52
- Reported safetensors parameters
- 321,323,031,390
- Architecture
- Glm5NextForConditionalGeneration
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-08-25T06:43:14.000Z
- Last modified
- 2026-10-15T06:32:52.000Z
Compatibility and lineage
Reported languages: en, zh
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:30.840Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.