Veyra AI

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Building tiny English language models for practical local AI. Veyra AI focuses on CPU-friendly inference, function calling, tool use, Python-oriented small models, distillation, RLVR, and lightweight fine-tuning. The goal is to make compact models that are easy to run, inspect, adapt, and use in real workflows without large hardware.

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Jdudeo  updated a Space about 21 hours ago
veyra-ai/README
Jdudeo  updated a model about 22 hours ago
veyra-ai/Veyra-30M-Base-2.5B-Tokens
Jdudeo  updated a model about 22 hours ago
veyra-ai/Veyra-30M-Base
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Welcome to Veyra AI

Tiny English language models built for fast local inference. Veyra AI focuses on compact, CPU-friendly language models that are easy to run, fine-tune, and experiment with. Our work is centered on small English models, function calling, Python-oriented variants, distillation, RLVR, tool use, and local AI. The goal is simple: make capable small models that are practical for local workflows, research, and lightweight deployment.

Current Model Families:

  • Veyra2 30M/15M — Newer models, smaller footprint but may not peform as well as Veyra 30M.
  • Veyra 30M — Proven 30M base model with strong instruction-following and balanced general capabilities.

Planned Model Families:

  • Veyra3 30M/15M Next-generation models optimized for low-latency inference and on-device deployment. Delivers excellent speed and efficiency without sacrificing responsiveness.

Note:

Kairo models are experimental and should not be used as reliable general purpose language models.

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