{ "altay_kv_layout": { "actual_cache_units": 70, "allocated_cache_slots": 72, "attention_padding_cache_slots": 0, "enabled": true, "full_attention_cache_units": 16, "gdn_cache_units": 54, "gdn_padding_cache_slots": 2, "group_size": 8, "kv_content_modified": false, "legacy_allocated_cache_slots": 80, "padding_cache_slots": 2, "repair_id": "ALTAY72_KV_ATTENTION_EXACT_G8_V2", "schema": "lomonosov_zenit_altay_kv_layout_v1", "weights_modified": false }, "altay_overlay": { "architecture_id": "LOMONOSOV_ZENIT_ALTAY_72M_SKV_V1", "file_sha256": "3e355f35a2e05c7d96d808160e410bf94b256adf67dc7d8fa3cf2039669766f6", "filename": "model-altay-overlay.safetensors", "quantization_invariant": true, "tensor_entries": 28, "tensor_payload_bytes": 15204384, "tensor_set_sha256": "18fd863ab724f1a1ea475df37d2bf89df943c6836085c264740a9095a6760d96" }, "architecture": "LomonosovZenitAltayForConditionalGeneration", "config_sha256": "dfb9d51dad800e7d712550ee053428baf2ae104180d0d1967fe40c32b6d19d0f", "logical_context_tokens": 1010000, "multimodal_parent": "Qwen3_5ForConditionalGeneration", "noosphere_execution_contract": "raw_plus_additive", "noosphere_in_model_generate": true, "noosphere_in_vllm_model_processor": true, "quantization_config_sha256": "9cbfd01ea212797c4a0c79d06756d59fa1b225d64af319e8f0644862d6babc2c", "quantization_independent_runtime_sha256": "d10bfff29a6df93031e81cc0696b8f7396de0108da95920ce52deb4de327ad4c", "raw_tokens_preserved": true, "routing_replaces_raw": false, "runtime_files": { "custom_generate/__init__.py": "31767bbe7a7f1c6036b325a7b2be13f9f89e04f1fa06706851db5553664ae183", "custom_generate/generate.py": "ba676176b434881995417bd31cd9514372a54505efc039147840b16e5abe7af3", "custom_generate/jit_guard.py": "36b5ca9f6f537683857aea1d92b223f6fcc17bafb6072d9524c22d1e93ce63dd", "custom_generate/noosphere/__init__.py": "69bb1feee377f5e00a5b778c5ce7b769f392dfbed583a135cadad1b74d5328d0", "custom_generate/noosphere/additive.py": "339466bbbbf592191c546741b8248b1a8632a3885dbda982d86c4e5cd5ee4f82", "custom_generate/noosphere/h1.py": "269dbe4f54f821a217b16889e02541227757eb9c44f803d8d9711da9ad18b6b8", "custom_generate/noosphere/ledger.py": "cf349793cd00764ac8f748f442dab192034e5cf8276c900c4dc039ee6cc5c761", "custom_generate/noosphere/model_memory.py": "f2bf760a861485fd4ab021f40768f3a426494be1b9927ee9bcdcff052435d51c", "custom_generate/noosphere/shell.py": "3702c69a5ceda0ac868e74b51b83bf0584794926ddb1f4c7d48c1eccbb033319", "custom_generate/noosphere/surface.py": "a5db814ab3527e3cdea224b2ed7fb6cc93c619ad17c46d32c076fd19b8551ae8", "custom_generate/noosphere/weave.py": "d9b89b389c81799de504b39b91868ea27eaa58eed70877c477b13ac3f1326eff", "custom_generate/offline_noosphere_path.py": "42e9a0c2011995a443ff1741dad6af272da7cbc3ae50256ee9da679ec1747503", "custom_generate/requirements.txt": "f7e6cee3d6ce0e1601be1df1011e35667401f7599a40c2b6ae7da033b3e91f0c", "custom_generate/serving_profiles.py": "2a27e341e83ee8e6263b2093e6e07d650a35318bfc3ac9fe9260e773a5799aac", "custom_generate/tq_embedding_quant.py": "de370dedae5f021b67b36454a31fea8968e983379ce3ccf28cacc86603dd7375", "custom_generate/tq_tiled_prefill.py": "64384ac8685789872e9b3bd5374c4d8967502d584b615338ad4f59a00cb361fd", "custom_generate/tq_value_mse.py": "0be4774fb1a6405e06072f1e56f715469f66acc28f730996e4b3b69c936fee9c", "custom_generate/tq_value_mse_decode.py": "4cc436c96d30978a2235d245874fa07b5b7d321e68518fc028ffc03ee77d2c82", "custom_generate/tq_value_mse_kernels.py": "ada075366a88d22db2a06a1472c289cf2a745f50efd46138129f9e970254c7da", "custom_generate/vllm_altay.py": "c19b8bf0deb7c5c7d7d9d1ba11a991684e8604e2eb5e5ffc1ba8526266f9d7e1", "custom_generate/vllm_kv_layout.py": "8ad7a4be290a7269613694b53816325463c550ecfdd9c88e65fd7ee331422d4b", "custom_generate/vllm_model.py": "56b79a9f4173f7b255afe8b5fb297905fb3ae7dde121836b8d837d9df1052c35", "custom_generate/vllm_plugin.py": "3e1e87674b6fb3268aeeaca22944915fc79aa5b5c9104dc8685e675ed76ecdce", "custom_generate/vllm_renderer.py": "b81c22f19086efa2bccfadf51838bc42401fd80ac7e27794cf110b5bc9610d3d", "custom_generate/vllm_turboquant.py": "6c5cad10dc4a21c753f7a1f17d69abcb366da8b864de4fdba537d52d5c0cafe4", "pyproject.toml": "dbb4468342f9c0af955e092491800f4ecb22ceb916d703756dd2db7e19d3c3af" }, "schema": "lomonosov_zenit_altay_noosphere_quant_binding_v1", "status": "BOUND_UNVERIFIED", "weight_index_sha256": "a786196aad388a89fd9e9335c9d7614d03ab5d23e5b054a0d723a45b9e3e0095", "weights_modified": false }