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aurekai/model-memory

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aurekai/model-memory

Public model memory archive for the Aurekai platform. Stores compiled model representations, SAE dictionaries, and semantic embeddings for zero-shot operational orchestration.

Overview

Model memory serves as the central knowledge base for Aurekai's runtime, enabling semantic querying and model-based decision making. This repository hosts:

  • —Compiled Model Binaries: Pre-compiled Aurekai model representations (.akmodel, .bfmodel)
  • —SAE Dictionaries: Sparse autoencoder dictionaries for model interpretability (.aksae, .bfsae)
  • —Semantic Embeddings: Cached embeddings for fast semantic search across operators
  • —Manifest Metadata: Aurekai and legacy Bonfyre format manifests

Quick Start

bash
# Download latest model memory archive
curl -L https://huggingface.co/aurekai/model-memory/resolve/main/aurekai-model-memory-qwen3-8b-20260502.tar.gz -o model-memory.tar.gz

# Extract
tar -xzf model-memory.tar.gz

# Use with Aurekai runtime
export AUREKAI_MODEL_MEMORY=$(pwd)/model-memory
akai run <recipe> --model-cache --semantic-search

Format Specifications

Aurekai First Formats (.ak*)

  • —`.akmodel`: Aurekai-native model compiled format
  • —Used by Aurekai runtime for direct inference
  • —Optimized for semantic routing and operator selection
  • —`.aksae`: Aurekai-native SAE dictionary format
  • —Sparse autoencoder coefficients in Aurekai serialization
  • —Default SAE for model interpretability
  • —`.akfpqx`: Aurekai-native FPQx alignment format
  • —Feature-to-proxy quantization alignments
  • —Model-to-model alignment data

Legacy Bonfyre Formats (.bf*)

For backward compatibility, this repository includes legacy Bonfyre format equivalents:

  • —.bfmodel → Bonfyre binary model representation
  • —.bfsae → Bonfyre SAE dictionary format
  • —.bffpqx → Bonfyre FPQx alignment format

Available Models

Qwen3 8B (qwen3-8b)

  • —Release: 2026-05-02
  • —Archive: aurekai-model-memory-qwen3-8b-20260502.tar.gz
  • —Size: See SHA256SUMS
  • —Formats:
  • —qwen3-8b.akmodel + qwen3-8b.bfmodel
  • —default.aksae + default.bfsae
  • —qwen3-to-llama3.akfpqx + qwen3-to-llama3.bffpqx

Integration with Aurekai

Environment Variables

bash
export AUREKAI_MODEL_MEMORY=/path/to/model-memory
export AUREKAI_SAE_DEFAULT=model-memory/default.aksae
export AUREKAI_EMBEDDINGS_CACHE=/tmp/aurekai-embeddings

In Aurekai Config

json
{
  "model_memory": {
    "path": "./model-memory",
    "formats": ["akmodel", "bfmodel"],
    "sae_dicts": ["default.aksae", "default.bfsae"],
    "fpqx_alignments": ["qwen3-to-llama3.akfpqx"]
  }
}

Manifests

  • —`aurekai.manifest.json`: Aurekai public manifest with SAE and FPQx inventory
  • —`bonfyre.manifest.json`: Legacy Bonfyre manifest for backward compatibility

Both manifests are included in each release and describe:

  • —Available models and their paths
  • —SAE dictionary mappings (Aurekai → Legacy)
  • —FPQx alignment pairs for cross-model translation
  • —Operator compatibility and runtime requirements

Performance Notes

  • —Model memory archives are compressed with both gzip and zstd
  • —Use .tar.zst for faster decompression on supported systems
  • —Recommended extraction to SSD for optimal semantic search performance

License

Licensed under the Aurekai Open Source License. See LICENSE in the main Aurekai repository.

Related

  • —Main Aurekai Repo: https://github.com/aurekai/aurekai
  • —SAE Dictionaries: https://huggingface.co/aurekai/sae-dictionaries
  • —FPQx Alignments: https://huggingface.co/aurekai/fpqx-alignments
  • —Semantic Cache Benchmarks: https://huggingface.co/aurekai/semantic-cache-bench

Support

For issues or questions:

  • —GitHub Discussions: https://github.com/aurekai/aurekai/discussions
  • —GitHub Issues: https://github.com/aurekai/aurekai/issues