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luciferai-devil/smriti-ai-gemma-4-memory

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face
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Model Card

Smriti AI for Gemma 4 Memory

Smriti AI for Gemma 4 Memory is a lightweight discovery card for the Smriti AI inference-time memory layer. It helps users looking for Gemma memory, Gemma 4 long-term memory, agent memory, semantic recall, graph recall, and training-free memory augmentation find the main Smriti AI project.

Important

This repository is not an official Gemma checkpoint, and it is not fine-tuned. Use google/gemma-4-E2B-it when you need the base checkpoint itself. The base model remains frozen. Smriti AI stores memory outside the weights and injects retrieved context at inference time.

Use

Use the main model-style repository and package:

bash
pip install "smriti-memory-ai[ml]==1.0.9"
python
from smriti import SmritiAILite, MemPalaceLite

For Hugging Face Inference Endpoints, use luciferai-devil/smriti-ai with:

bash
BASE_MODEL_ID=google/gemma-4-E2B-it

Related assets

  • Main model wrapper: luciferai-devil/smriti-ai
  • Demo Space: luciferai-devil/smriti-ai-demo
  • Benchmark dataset: luciferai-devil/smriti-ai-benchmarks
  • GitHub: https://github.com/Luciferai04/smriti-ai
  • PyPI: smriti-memory-ai

Claim boundary

Current official benchmark evidence includes Gemma 4 plus Qwen 2.5, Phi-3 mini, and Llama 3.2 1B real-model shards with provenance. Smriti AI improves memory access; it does not change model weights.