autotrust/GLM5.3-Flash-E224-DGX-Spark
image-text-to-text model by autotrust
From the publisher
Model card & documentation
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autotrust/GLM5.3-Flash-E224-DGX-Spark is a compact build of zai-org/GLM-5.3-Flash for desktop Blackwell systems like NVIDIA DGX Spark. It's an unofficial derivative. It keeps 224 of the 288 routed experts in each layer by Neural Architecture Search (NAS), uses NVFP4 for the experts and still activates 18 B parameters per token. The weights take 141 GiB, which is small enough for two DGX Sparks connected by ConnectX-7 (256 GB of unified memory in total) with room left for long-context KV cache. A single 180 GB Blackwell GPU (B200/GB200) can also run it. The original GLM-5.3-Flash MTP layer ships unmodified in mtp/ as an optional speculative-decoding draft. It gives about 1.85× single-stream decode speed at the same output quality. The model keeps the full 154,880-token vocabulary and has the vision tower intact. DGX Spark (GB10 Grace Blackwell) has 128 GB of LPDDR5X unified memory, 273 GB/s bandwidth and native FP4 tensor cores. That profile…
Read the full model card ↗ · Preview checked 2026-10-08T06:39:21.634Z
Inside the original model card — Document outline
- GLM5.3-Flash-E224-DGX-Spark
- Designed for DGX Spark
- Benchmarks
- Headline
- Reasoning: the thinking budget matters
- Tool use: BFCL v4 (function calling, AST match)
- Throughput (single B200, reference only)
- MTP speculative decoding (optional)
- Where it loses vs. the unpruned model
- Deployment
- Requirements
- 2× DGX Spark (target configuration)
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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
autotrust/GLM5.3-Flash-E224-DGX-Spark is a image-text-to-text model repository published by autotrust on Hugging Face. The source reports the vllm 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
- vllm
- Recent downloads (30 days)
- 68
- Cumulative likes
- 70
- Hugging Face trending score
- 64
- Reported safetensors parameters
- 127,627,162,814
- Architecture
- Glm5NextForConditionalGeneration
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-06T22:49:26.000Z
- Last modified
- 2026-10-07T05:36:31.000Z
Compatibility and lineage
Reported languages: en, zh
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
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-08T06:39:12.727Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.