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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](./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](https://github.com/aurekai/aurekai/blob/main/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 | |