inference-optimization/GLM-5.3-Flash-2.6B-A2.3B-small
image-text-to-text model by inference-optimization
Older snapshot: check the original source for current information.
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
This is a small version of zai-org/GLM-5.3-Flash created for testing and development. It keeps all hidden dimensions and hyperparameters of the base model identical, reducing only the number of layers, the layer-type layout, and the number of MoE experts, so it exercises the same architecture (hybrid KDA linear attention + DeepSeek-style sparse attention with indexer, MoE with sigmoid noaux-tc routing, multi-hyper-connection, vision tower) at a fraction of the size. Only the three allowed categories of changes were made (layer counts, layer-type layout, expert count); every other hyperparameter is identical to the base: The 3 text layers are the minimal set covering every distinct attention layer type (linearattention KDA, deepseeksparseattention MLA+indexer) and every distinct MLP type (dense, sparse MoE), i.e. all three (attention, MLP) combinations that occur in the base. 10 experts >= numexpertspertok 8 (topk+2 for non-degenerate routing). Everything else — hidden size 4096, vocab 154880, MLA dims (kvlorarank 512,…
Read the full model card ↗ · Preview checked 2026-10-29T05:41:45.178Z
Inside the original model card — Document outline
- GLM-5.3-Flash-2.6B-A2.3B-small
- Model Details
- Configuration Changes
- Checkpoint Structure
- Usage
- Creation Process
- Validation
- Notes
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
inference-optimization/GLM-5.3-Flash-2.6B-A2.3B-small is a image-text-to-text model repository published by inference-optimization 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)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 2,570,456,630
- Architecture
- Glm5NextForConditionalGeneration
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-20T06:27:37.000Z
- Last modified
- 2026-10-20T06:27:59.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: zai-org/GLM-5.3-Flash
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
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-20T06:43:37.702Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.