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 model 6 days ago
veyra-ai/Veyra2-Apricot-50M-Base
Jdudeo  updated a Space 6 days ago
veyra-ai/README
Jdudeo  updated a collection 11 days ago
Veyra2
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Welcome to Veyra AI

Veyra AI builds tiny English language models for fast local inference. We focus is on compact, CPU-friendly models that are easy to run and fine-tunes.

Our work centers on general base models, function calling, Python-focused variants, distillation, RLVR, tool use, and benchmarks.

Current Model Families

  • Veyra2 50M / 30M / 15M — Newer models with a smaller footprint, designed for efficient local inference. These models may not perform as strongly as the original Veyra 30M in all tasks.
  • Veyra 30M — A proven 30M base model with strong instruction-following ability and balanced general-purpose capabilities.

Planned Model Families

  • Veyra3 50M — Next-generation models optimized for low-latency inference and on-device deployment, with a focus on speed, efficiency, and responsiveness.

Note

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