AI & ML interests

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

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Gittensor Model Hub

We build fast, accurate, and useful AI models optimized for RTX 5090 and RTX PRO 6000 — making AI more accessible while remaining powerful and efficient.

Our models are paired with SparkInfer, a Blackwell-native, zero-dependency custom inference engine. We intentionally maintain a small selection of high-quality SOTA models — already achieving 2–3× faster inference than llama.cpp in many workloads.

Featured Models

Qwen3.8-27B-NVFP4-RTX5090

An NVIDIA ModelOpt NVFP4-optimized version of Qwen3.8-27B, tuned specifically for GeForce RTX 5090.

  • Native 256K context on 32 GB VRAM
  • Faster than Unsloth NVFP4
  • Accuracy largely preserved
  • Optimized for high-throughput local inference

Spark-Hermes-3.8-27B

A co-trained agent model combining Hermes and Qwen3.8-27B, designed for tool use, structured reasoning, and agentic workflows.

  • Model card available first
  • Weights coming soon
  • Built for practical agent deployments

SparkInfer

Blackwell-native. Zero dependencies. Built for speed.

SparkInfer is our custom inference engine designed to maximize performance on modern NVIDIA GPUs, especially RTX 5090 and RTX PRO 6000 systems.

  • Custom Blackwell-optimized runtime
  • Minimal setup friction
  • Focused on real-world inference speed
  • Designed to run selected SOTA models faster than common open-source inference stacks

Why Gittensor?

  • Fewer models, higher quality
  • Optimized for consumer and professional RTX GPUs
  • Fast inference without unnecessary dependencies
  • Practical models for agents, coding, and general use
  • Performance-first engineering

Short version

Gittensor Model Hub builds fast, accurate AI models optimized for RTX 5090 and RTX PRO 6000. Paired with SparkInfer, our Blackwell-native inference engine, our curated SOTA models run 2–3× faster than llama.cpp while remaining practical and efficient.