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Gittensor Model Hub

gittensor-model-hub

Fast, distilled, Blackwell-native AI built for RTX 5090/Pro 6000 and real-time agent workflows.

Models in Library1
Datasets in Library0
Models on Hugging Face7
Followers65

Models

Model · Image and text to text

Qwen3.8-27B-NVFP4-RTX5090

Gittensor Model Hub

Runs on SparkInfer, SGLang and vLLM unmodified — configs for all three are below. Serving many users at once? See concurrency. SparkInfer × this NVFP4 build × the DSpark v2 drafter — an engine, a checkpoint, and a speculative drafter optimized against each other, compounding to 4.3×. The drafter never changes what the model says: the target verifies every drafted token. GeForce RTX 5090–specific NVFP4 checkpoint of Qwen/Qwen3.8-27B, quantized with NVIDIA Model Optimizer. Serves the full native 262,144-token context on 32 GB. With the DSpark v2 drafter: 264.8 tok/s overall — up to 420 on code — on SparkInfer (its bench harness; the HTTP server is autoregressive-only today) and 161.7 tok/s on…

Open weights apache-2.0 14.6B parameters 262,144 tokens transformers