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smollm2

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A fine-tuned version of SmolLM2-360M-Instruct-bnb-4bit specialized for parsing unstructured calendar event requests into structured JSON data.

  • Updated Jun 21, 2025
  • Python

Active-inference Training with Learned Adaptive Stigmergy — Pure Rust AGI framework, 21 crates, 565 tests, 28 MCP tools, BF16 GPU inference (15.4 tok/s OLMo-3-7B on A100), OpenAI-compatible API, ZK proofs. Zero external dependencies.

  • Updated Apr 20, 2026
  • Rust

NMOS (Neural Memory OS) is a predictive partial execution engine enabling 70B-level reasoning on 4GB VRAM. It uses the “Zero-Lag” hypothesis, leveraging typing latency as a compute window to mask memory limits via async layer prefetching and speculative decoding.

  • Updated Apr 6, 2026
  • Python

Systematically train and benchmark Mistral, Qwen2.5, and SmolLM2 on essay grading across 39 experiments through data analysis and engineering, structured preprocessing, instruction tuning, postprocessing, and leakage aware evaluation for robust score and rationale generation

  • Updated Aug 14, 2025
  • Jupyter Notebook

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