{
 "kind": "deltaverse.hfindex/1",
 "built": "2026-10-12 23:19 UTC",
 "owner": "Gregory-L / PYTHAI · Professor Codephreak",
 "items": [
  {
   "id": "Gregory-L/Savante",
   "kind": "space",
   "section": "spaces",
   "title": "Savante, interactive edition",
   "what": "Savante's page with the ultimate input field: sAGI mode (Savante), a generic mode and T (terminal) mode. It has four carriers: bankML in the browser (browseML, with receipts), Bonsai on the free public CPU, Bonsai on your own machine, and a Hugging Face provider. Delivery records are kept in .memory, and the improve.skill count is also shown in 18-decimal EVM units.",
   "cost": "free (browseML, free CPU); provider: visitor's credits",
   "url": "https://huggingface.co/spaces/Gregory-L/Savante",
   "private": false,
   "commit": "74d71c3",
   "status": "running · static",
   "updated": "2026-10-09",
   "hardware": "static",
   "sdk": "static",
   "short_description": "Savante, interactive — in your browser, with bankML",
   "read": "hub"
  },
  {
   "id": "PYTHAI/savante",
   "kind": "space",
   "section": "spaces",
   "title": "Savante, the template",
   "what": "The public edition and template of Savante's office: the rooms Ask, Hub, Office, Verdict, Integrity and Skills, with Bonsai on a free CPU. Kept exactly as it is.",
   "cost": "free; provider: visitor's credits",
   "url": "https://huggingface.co/spaces/PYTHAI/savante",
   "private": false,
   "commit": "66625db",
   "status": "running · static",
   "updated": "2026-09-26",
   "hardware": "static",
   "sdk": "static",
   "short_description": "Savante — the read-only office of sAGI",
   "read": "hub"
  },
  {
   "id": "Gregory-L/ultimate-webgpu",
   "kind": "space",
   "section": "spaces",
   "title": "ultimate WebGPU",
   "what": "The ultimate input field on the visitor's GPU: Qwen3-0.6B text and Agate images (Logolabs, MIT, marked AI-generated) on WebGPU, with bankML as a separate, verified CPU engine (browseML, with receipts).",
   "cost": "free (runs in the visitor's browser)",
   "url": "https://huggingface.co/spaces/Gregory-L/ultimate-webgpu",
   "private": false,
   "commit": "65bce6f",
   "status": "running · static",
   "updated": "2026-10-09",
   "hardware": "static",
   "sdk": "static",
   "short_description": "Agate images and Qwen3 on WebGPU; bankML verified on the CPU",
   "read": "hub"
  },
  {
   "id": "Gregory-L/zeroscope",
   "kind": "space",
   "section": "spaces",
   "title": "zeroscope: text to video",
   "what": "Text to video in the ultimate input field. Wan 2.2, Wan 2.1, HunyuanVideo and LongCat-Video run at a Hugging Face Inference Provider, and each clip opens in a response window with a save link.",
   "cost": "visitor's Hugging Face credits",
   "url": "https://huggingface.co/spaces/Gregory-L/zeroscope",
   "private": true,
   "commit": "6a52cba",
   "status": "running · static",
   "updated": "2026-10-09",
   "hardware": null,
   "read": "last_seen",
   "last_seen_at": "2026-10-09 18:51 UTC",
   "why_unread": "the Hub answered HTTP 401: private or absent, and no token was given"
  },
  {
   "id": "Gregory-L/platypusai",
   "kind": "space",
   "section": "spaces",
   "title": "platypus",
   "what": "Mistral-7B-v0.1-Open-Platypus as a Q4_K_M GGUF pinned by sha256, served by llama.cpp b11515 on the free CPU behind the ultimate input field. It is bankML-ready: bankML takes over once it has SentencePiece and Q4_K.",
   "cost": "free (the Space's CPU)",
   "url": "https://huggingface.co/spaces/Gregory-L/platypusai",
   "private": true,
   "commit": "27dad1f",
   "status": "running · cpu-basic · waiting for its model conversion",
   "updated": "2026-10-09",
   "hardware": null,
   "read": "last_seen",
   "last_seen_at": "2026-10-09 18:51 UTC",
   "why_unread": "the Hub answered HTTP 401: private or absent, and no token was given"
  },
  {
   "id": "Gregory-L/mindXhfgradio",
   "kind": "space",
   "section": "spaces",
   "title": "mindXhfgradio",
   "what": "mindX's Gradio Space: the mindX coach as one UI, on ZeroGPU hardware. The rooms are Door, mindX, Workbench (imprinted generation against its untouched SmolLM2-135M base, influence = after − before), Table, Scales, Kiln · mindXtrain, Map · Cabinet, Ledger and ternary · speak. Its /mindx endpoint runs Bonsai-8B (1-bit) and Ternary-Bonsai-8B through llama.cpp b11192 on the Space's CPU, both pinned by sha256: that is the free public carrier for Savante and Jaimla, whose sAGI and jaimla answers are recorded to their public loops. The `here` backend runs a mindXascension generation in-process on ZeroGPU on the signed-in visitor's quota. MCP server: probe and plan are tools.",
   "cost": "free (Bonsai on the Space's CPU); `here`: the visitor's ZeroGPU minutes",
   "url": "https://huggingface.co/spaces/Gregory-L/mindXhfgradio",
   "private": false,
   "commit": "b0cd686",
   "status": "running · zero-a10g",
   "updated": "2026-09-27",
   "hardware": "zero-a10g",
   "sdk": "gradio",
   "short_description": "mindX × HF — coach, mindXtrain and the Hub in one UI",
   "read": "hub"
  },
  {
   "id": "PYTHAI/bankml",
   "kind": "space",
   "section": "spaces",
   "title": "bankML",
   "what": "bankML: verified 1-bit and ternary LLMs on a CPU, in Rust, bit-exact against llama.cpp b11192. The page asks your own bankml serve (a receipt whose sha256 the page checks) or, signed in, a Hugging Face provider with bankML's persona, labelled as not bankML. It holds bankML's whole source and the Space mount (uif-space.js) the ultimate-input-field pages use.",
   "cost": "free (your own bankml serve); provider: visitor's credits",
   "url": "https://huggingface.co/spaces/PYTHAI/bankml",
   "private": false,
   "commit": "36a3c9b",
   "status": "running · static",
   "updated": "2026-10-10",
   "hardware": "static",
   "sdk": "static",
   "short_description": "Verified 1-bit and ternary LLMs on a CPU, in Rust",
   "read": "hub"
  },
  {
   "id": "PYTHAI/bankML-UIF",
   "kind": "space",
   "section": "spaces",
   "title": "bankML UIF",
   "what": "bankML behind the ultimate input field, as a React app: a draggable, resizable, dockable field with a chat mode and T (terminal) mode, and output fields you can spawn and pop out. A first visit answers with bankML in the browser (browseML, Bonsai-1.7B Q1_0 checked against its sha256 pin, a receipt on every answer); your own bankml serve and a Hugging Face provider are the other two answerers. Formerly PYTHAI/ultimate-bankml-ui (the npm package keeps that name).",
   "cost": "free (browseML, your CPU); provider: visitor's credits",
   "url": "https://huggingface.co/spaces/PYTHAI/bankML-UIF",
   "private": false,
   "commit": "d3ab583",
   "status": "running · static",
   "updated": "2026-10-10",
   "hardware": "static",
   "sdk": "static",
   "short_description": "bankML in your browser behind the ultimate input field, free",
   "read": "hub"
  },
  {
   "id": "PYTHAI/savante-loop",
   "kind": "dataset",
   "section": "data",
   "title": "savante-loop",
   "what": "Savante's improve.skill loop: .memory, .history and publication.json, plus agents/: ERC-8004 registration cards for the sAGI family (savante, jaimla, luvai, codephreak, simplecoder, bankml) with agents/index.json. None is minted.",
   "cost": "free",
   "url": "https://huggingface.co/datasets/PYTHAI/savante-loop",
   "private": false,
   "commit": "0f755f6",
   "status": "published",
   "updated": "2026-10-12",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/jaimla-loop",
   "kind": "dataset",
   "section": "data",
   "title": "jaimla-loop",
   "what": "Jaimla's improve.skill loop, which runs fully automatically: .memory, .history, SKILL.md, the archived skill versions, operator.log and an audited dataset card.",
   "cost": "free",
   "url": "https://huggingface.co/datasets/PYTHAI/jaimla-loop",
   "private": false,
   "commit": "6d28897",
   "status": "published",
   "updated": "2026-10-09",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/Bonsai-8B-gguf-fork",
   "kind": "model",
   "section": "data",
   "title": "Bonsai-8B-gguf-fork",
   "what": "Bonsai-8B Q1_0 (1-bit), pinned by sha256: Savante's and Jaimla's carrier.",
   "cost": "free",
   "url": "https://huggingface.co/PYTHAI/Bonsai-8B-gguf-fork",
   "private": false,
   "commit": "87c4ff9",
   "status": "published",
   "updated": "2026-09-26",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/Ternary-Bonsai-8B-gguf-fork",
   "kind": "model",
   "section": "data",
   "title": "Ternary-Bonsai-8B-gguf-fork",
   "what": "Ternary-Bonsai-8B Q2_0_g64, pinned by sha256.",
   "cost": "free",
   "url": "https://huggingface.co/PYTHAI/Ternary-Bonsai-8B-gguf-fork",
   "private": false,
   "commit": "2445960",
   "status": "published",
   "updated": "2026-09-26",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "Gregory-L/Mistral-7B-v0.1-Open-Platypus-GGUF",
   "kind": "model",
   "section": "data",
   "title": "Mistral-7B-v0.1-Open-Platypus-GGUF",
   "what": "Platypus Q4_K_M with FORK.json, published by Gregory-L/platypusai on its first run.",
   "cost": "free",
   "url": "https://huggingface.co/Gregory-L/Mistral-7B-v0.1-Open-Platypus-GGUF",
   "private": null,
   "commit": null,
   "status": "not yet published",
   "updated": null,
   "hardware": null,
   "read": "last_seen",
   "last_seen_at": "2026-10-09 18:51 UTC",
   "why_unread": "the Hub answered HTTP 401: private or absent, and no token was given"
  },
  {
   "id": "PYTHAI/mindX",
   "kind": "space",
   "section": "spaces",
   "title": "mindX, the front door",
   "what": "mindX's static front door on Hugging Face, in the first person: a self-building cognitive architecture whose BDI agents do the work, audited against eight Gödel-machine predicates, dreaming over its own memory and training its own weights on a two-core CPU. Every number is read live from mindx.pythai.net; it also renders the Thesis, Manifesto and Navigation from PYTHAI/mindX-docs, hashed in the browser.",
   "cost": "free",
   "url": "https://huggingface.co/spaces/PYTHAI/mindX",
   "private": false,
   "commit": "77a7af5",
   "status": "running · static",
   "updated": "2026-10-10",
   "hardware": "static",
   "sdk": "static",
   "short_description": "I am mindX — a self-building cognitive architecture",
   "read": "hub"
  },
  {
   "id": "PYTHAI/browseML",
   "kind": "space",
   "section": "spaces",
   "title": "browseML",
   "what": "bankML's own engine compiled to WebAssembly, on the visitor's CPU: Bonsai-1.7B Q1_0 (248 MB, cached once) checked against its sha256 pin before it answers, and a receipt on every answer that the page recomputes. No server answers; the Space only serves files.",
   "cost": "free (runs in the visitor's browser)",
   "url": "https://huggingface.co/spaces/PYTHAI/browseML",
   "private": false,
   "commit": "1f9a158",
   "status": "running · static",
   "updated": "2026-10-10",
   "hardware": "static",
   "sdk": "static",
   "short_description": "bankML in your browser, verified, a receipt on every answer",
   "read": "hub"
  },
  {
   "id": "PYTHAI/minaiml",
   "kind": "space",
   "section": "spaces",
   "title": "minaiml",
   "what": "minaiml (say it minimal), PYTHAI's delivery layer: software that runs reasonable-sized models, mixture-of-experts first, on laptops and phones people already own. Labelled LAB TEST · ALPHA: it has never generated a token on a phone, and every figure on the page is a model or someone else's published measurement.",
   "cost": "free",
   "url": "https://huggingface.co/spaces/PYTHAI/minaiml",
   "private": false,
   "commit": "5f02c9e",
   "status": "running · static",
   "updated": "2026-09-22",
   "hardware": "static",
   "sdk": "static",
   "short_description": "delivery software for models on laptops and phones",
   "read": "hub"
  },
  {
   "id": "PYTHAI/README",
   "kind": "space",
   "section": "spaces",
   "title": "PYTHAI organization card",
   "what": "The PYTHAI organization card (static): what PYTHAI is, start-here links to mindX, bankML and Savante, and a deeper full.html. Its \"everything else\" row links to this index.",
   "cost": "free",
   "url": "https://huggingface.co/spaces/PYTHAI/README",
   "private": false,
   "commit": "5181efa",
   "status": "running · static",
   "updated": "2026-10-09",
   "hardware": "static",
   "sdk": "static",
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "Gregory-L/mindX-ascend",
   "kind": "space",
   "section": "spaces",
   "title": "mindX-ascend (placeholder)",
   "what": "Still the Hugging Face static template (Transformers.js object detection with Xenova/detr-resnet-50); no mindX content. The gen-39 weights it was named for are in the dataset Gregory-L/mindX-ascend-weights.",
   "cost": "free",
   "url": "https://huggingface.co/spaces/Gregory-L/mindX-ascend",
   "private": false,
   "commit": "af0233e",
   "status": "running · static",
   "updated": "2026-09-02",
   "hardware": "static",
   "sdk": "static",
   "short_description": "ascension",
   "read": "hub"
  },
  {
   "id": "Gregory-L/ZENMLOS",
   "kind": "space",
   "section": "spaces",
   "title": "Zenml Server (2023)",
   "what": "A 2023 duplicate of zenml/zenml (Docker). Not part of mindX; sleeping.",
   "cost": "free while asleep",
   "url": "https://huggingface.co/spaces/Gregory-L/ZENMLOS",
   "private": false,
   "commit": "bbabff9",
   "status": "sleeping · cpu-basic",
   "updated": "2023-06-02",
   "hardware": "cpu-basic",
   "sdk": "docker",
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/mindXascension",
   "kind": "dataset",
   "section": "data",
   "title": "mindXascension, the lineage",
   "what": "mindX's training lineage in the open: weights/genN/ (merged model, adapter and provenance, generations 1–41) and machine.dream/, the curated corpus of mindX's own memory in its own voice. Base HuggingFaceTB/SmolLM2-135M, Apache-2.0. The gate refuses more than it accepts: generation 39 is the newest it accepted.",
   "cost": "free",
   "url": "https://huggingface.co/datasets/PYTHAI/mindXascension",
   "private": false,
   "commit": "4bd31b9",
   "status": "published",
   "updated": "2026-09-26",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/mindXascension",
   "kind": "model",
   "section": "data",
   "title": "mindXascension, the adapters (private)",
   "what": "The private model repo that receives every generation's adapter (genN/). It holds generations the public dataset does not, so a token-less reader can load only up to generation 41.",
   "cost": "owner only",
   "url": "https://huggingface.co/PYTHAI/mindXascension",
   "private": true,
   "commit": null,
   "status": "private · gen 1–74 as read 2026-09-10",
   "updated": null,
   "hardware": null,
   "read": "last_seen",
   "last_seen_at": "CLAUDE.md, 2026-09-10",
   "why_unread": "the Hub answered HTTP 401: private or absent, and no token was given"
  },
  {
   "id": "PYTHAI/mindX-docs",
   "kind": "dataset",
   "section": "data",
   "title": "mindX-docs",
   "what": "mindX's documentation mapped for mindXtrain: the Thesis, Manifesto and Navigation with a mapping, each linking back to its page on mindx.pythai.net and to the read-aloud on the node.",
   "cost": "free",
   "url": "https://huggingface.co/datasets/PYTHAI/mindX-docs",
   "private": false,
   "commit": "247f2f3",
   "status": "published",
   "updated": "2026-09-16",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/bankonos-images",
   "kind": "dataset",
   "section": "data",
   "title": "bankonOS images",
   "what": "OCI archives built by bankonOS's podman/deployer (alpine-base, debian-base, bitcoind, ipfs, openbdk), each beside a sha256 and a manifest.json naming its template, variables and bankonOS commit. No image carries a secret.",
   "cost": "free",
   "url": "https://huggingface.co/datasets/PYTHAI/bankonos-images",
   "private": false,
   "commit": "07cb54e",
   "status": "published",
   "updated": "2026-09-26",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "Gregory-L/machine.dream",
   "kind": "dataset",
   "section": "data",
   "title": "machine.dream (early)",
   "what": "An early (2026-09-02) upload of machine.dream training JSONL from mindX's agents. The curated corpus now lives in PYTHAI/mindXascension/machine.dream. No dataset card.",
   "cost": "free",
   "url": "https://huggingface.co/datasets/Gregory-L/machine.dream",
   "private": false,
   "commit": "2677f2b",
   "status": "published",
   "updated": "2026-09-02",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "Gregory-L/mindX-ascend-weights",
   "kind": "dataset",
   "section": "data",
   "title": "mindX-ascend-weights (gen 39)",
   "what": "Generation 39 only: the LoRA checkpoint and the Ollama merge. Superseded by PYTHAI/mindXtrain39 and PYTHAI/mindXascension. No dataset card.",
   "cost": "free",
   "url": "https://huggingface.co/datasets/Gregory-L/mindX-ascend-weights",
   "private": false,
   "commit": "dc76d92",
   "status": "published",
   "updated": "2026-09-02",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/mindXtrain39",
   "kind": "model",
   "section": "data",
   "title": "mindXtrain39",
   "what": "Generation 39 of the dream→weights lineage, the newest the proof-of-recall gate accepted (imprint Δ recall +0.1002): SmolLM2-135M with a LoRA r=16 merged, trained on two vCPUs with no GPU. Merged weights, adapter/, training log, a THOT and iNFT facets. No inference provider serves it.",
   "cost": "free",
   "url": "https://huggingface.co/PYTHAI/mindXtrain39",
   "private": false,
   "commit": "0ea7d6b",
   "status": "published",
   "updated": "2026-09-12",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/mindXtrain",
   "kind": "model",
   "section": "data",
   "title": "mindXtrain",
   "what": "mindXtrain for mindX, the Hugging Face fork (from the GitHub upstream at 661bd41, which is now archived). New work on the training framework lands here. Code, not weights.",
   "cost": "free",
   "url": "https://huggingface.co/PYTHAI/mindXtrain",
   "private": false,
   "commit": "9c5dc6c",
   "status": "published",
   "updated": "2026-10-05",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/SAVANTE",
   "kind": "model",
   "section": "data",
   "title": "SAVANTE, the .persona",
   "what": "Savante (savante_sagi, the prototype sAGI) as a .persona: no weights, and never will be. The charter, facet bundle, integrity ledger and proofs, mirrored from github.com/cryptoAGI/savante under canon/. mindXhfgradio reads Savante's system prompt from here.",
   "cost": "free",
   "url": "https://huggingface.co/PYTHAI/SAVANTE",
   "private": false,
   "commit": "df740f7",
   "status": "published",
   "updated": "2026-09-26",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/voaice",
   "kind": "model",
   "section": "data",
   "title": "voaice, the voice library",
   "what": "voaice's voice library: 70 open-licensed Piper voices in 29 language families, unchanged, with their licences, and cards/ with 81 voice cards (70 Piper + 11 in-house), each stating its licence and whether it is mintable. Summarised under Voices below.",
   "cost": "free",
   "url": "https://huggingface.co/PYTHAI/voaice",
   "private": false,
   "commit": "5664171",
   "status": "published",
   "updated": "2026-10-08",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/chronos-oracle-llm-tools",
   "kind": "model",
   "section": "data",
   "title": "chronos.oracle LLM tools",
   "what": "The tools mindX measures itself with: time to first token, generation, wall time, tokens, CPU and GPU time per LLM call, every event stamped with chronos.oracle time (kairos_meter.py and friends). Code and measurements, no weights.",
   "cost": "free",
   "url": "https://huggingface.co/PYTHAI/chronos-oracle-llm-tools",
   "private": false,
   "commit": "065e8ee",
   "status": "published",
   "updated": "2026-09-26",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/GLM-5.2-fork",
   "kind": "model",
   "section": "forks",
   "title": "GLM-5.2-fork",
   "what": "Licence-locked pointer fork of zai-org/GLM-5.2 at cf457fa: LICENSE, configuration, tokenizer and code with SHA-256 digests in FORK.json. No weights here (282 files, 1506.7 GB, stay at the source).",
   "cost": "free",
   "url": "https://huggingface.co/PYTHAI/GLM-5.2-fork",
   "upstream": "zai-org/GLM-5.2",
   "private": false,
   "commit": "470a343",
   "status": "published",
   "updated": "2026-09-13",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/GLM-5.3-Flash-fork",
   "kind": "model",
   "section": "forks",
   "title": "GLM-5.3-Flash-fork",
   "what": "Licence-locked pointer fork of zai-org/GLM-5.3-Flash at eb9eb20: LICENSE, configuration, tokenizer and code with SHA-256 digests in FORK.json. No weights here (62 files, 328.3 GB, stay at the source).",
   "cost": "free",
   "url": "https://huggingface.co/PYTHAI/GLM-5.3-Flash-fork",
   "upstream": "zai-org/GLM-5.3-Flash",
   "private": false,
   "commit": "0866a1d",
   "status": "published",
   "updated": "2026-09-13",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/GLM-5.3-fork",
   "kind": "model",
   "section": "forks",
   "title": "GLM-5.3-fork",
   "what": "Licence-locked pointer fork of zai-org/GLM-5.3 at aca966e: LICENSE, configuration, tokenizer and code with SHA-256 digests in FORK.json. No weights here (141 files, 755.6 GB, stay at the source).",
   "cost": "free",
   "url": "https://huggingface.co/PYTHAI/GLM-5.3-fork",
   "upstream": "zai-org/GLM-5.3",
   "private": false,
   "commit": "c28f709",
   "status": "published",
   "updated": "2026-09-13",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/Kimi-K2.7-Code-fork",
   "kind": "model",
   "section": "forks",
   "title": "Kimi-K2.7-Code-fork",
   "what": "Licence-locked pointer fork of moonshotai/Kimi-K2.7-Code at 74797c9: LICENSE, configuration, tokenizer and code with SHA-256 digests in FORK.json. No weights here (64 files, 595.2 GB, stay at the source).",
   "cost": "free",
   "url": "https://huggingface.co/PYTHAI/Kimi-K2.7-Code-fork",
   "upstream": "moonshotai/Kimi-K2.7-Code",
   "private": false,
   "commit": "142d1de",
   "status": "published",
   "updated": "2026-09-13",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/Kimi-K3-fork",
   "kind": "model",
   "section": "forks",
   "title": "Kimi-K3-fork",
   "what": "Licence-locked pointer fork of moonshotai/Kimi-K3 at f831ab6: LICENSE, configuration, tokenizer and code with SHA-256 digests in FORK.json. No weights here (97 files, 1561.0 GB, stay at the source).",
   "cost": "free",
   "url": "https://huggingface.co/PYTHAI/Kimi-K3-fork",
   "upstream": "moonshotai/Kimi-K3",
   "private": false,
   "commit": "55d05d3",
   "status": "published",
   "updated": "2026-09-13",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/Qwen3.8-2.4T-A95B-fork",
   "kind": "model",
   "section": "forks",
   "title": "Qwen3.8-2.4T-A95B-fork",
   "what": "Licence-locked pointer fork of Qwen/Qwen3.8-2.4T-A95B at 207bd68: LICENSE, configuration, tokenizer and code with SHA-256 digests in FORK.json. No weights here (213 files, 4892.4 GB, stay at the source).",
   "cost": "free",
   "url": "https://huggingface.co/PYTHAI/Qwen3.8-2.4T-A95B-fork",
   "upstream": "Qwen/Qwen3.8-2.4T-A95B",
   "private": false,
   "commit": "7a12e87",
   "status": "published",
   "updated": "2026-09-13",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/Qwen3.8-27B-fork",
   "kind": "model",
   "section": "forks",
   "title": "Qwen3.8-27B-fork",
   "what": "Licence-locked pointer fork of Qwen/Qwen3.8-27B at 1d4bf0f: LICENSE, configuration, tokenizer and code with SHA-256 digests in FORK.json. No weights here (18 files, 55.6 GB, stay at the source).",
   "cost": "free",
   "url": "https://huggingface.co/PYTHAI/Qwen3.8-27B-fork",
   "upstream": "Qwen/Qwen3.8-27B",
   "private": false,
   "commit": "3bdd8ce",
   "status": "published",
   "updated": "2026-09-13",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/Qwen3.8-Flash-Next-fork",
   "kind": "model",
   "section": "forks",
   "title": "Qwen3.8-Flash-Next-fork",
   "what": "Licence-locked pointer fork of Qwen/Qwen3.8-Flash-Next at de4b8e4: LICENSE, configuration, tokenizer and code with SHA-256 digests in FORK.json. No weights here (131 files, 360.0 GB, stay at the source).",
   "cost": "free",
   "url": "https://huggingface.co/PYTHAI/Qwen3.8-Flash-Next-fork",
   "upstream": "Qwen/Qwen3.8-Flash-Next",
   "private": false,
   "commit": "bea6111",
   "status": "published",
   "updated": "2026-09-13",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/granite-4.2-30b-fork",
   "kind": "model",
   "section": "forks",
   "title": "granite-4.2-30b-fork",
   "what": "Licence-locked pointer fork of ibm-granite/granite-4.2-30b at 9e668ce: LICENSE, configuration, tokenizer and code with SHA-256 digests in FORK.json. No weights here (11 files, 58.6 GB, stay at the source).",
   "cost": "free",
   "url": "https://huggingface.co/PYTHAI/granite-4.2-30b-fork",
   "upstream": "ibm-granite/granite-4.2-30b",
   "private": false,
   "commit": "13907d4",
   "status": "published",
   "updated": "2026-09-13",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/granite-4.2-3b-fork",
   "kind": "model",
   "section": "forks",
   "title": "granite-4.2-3b-fork",
   "what": "Licence-locked pointer fork of ibm-granite/granite-4.2-3b at e459acc: LICENSE, configuration, tokenizer and code with SHA-256 digests in FORK.json. No weights here (2 files, 7.3 GB, stay at the source).",
   "cost": "free",
   "url": "https://huggingface.co/PYTHAI/granite-4.2-3b-fork",
   "upstream": "ibm-granite/granite-4.2-3b",
   "private": false,
   "commit": "875a913",
   "status": "published",
   "updated": "2026-09-13",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  },
  {
   "id": "PYTHAI/granite-4.2-8b-fork",
   "kind": "model",
   "section": "forks",
   "title": "granite-4.2-8b-fork",
   "what": "Licence-locked pointer fork of ibm-granite/granite-4.2-8b at f8de16c: LICENSE, configuration, tokenizer and code with SHA-256 digests in FORK.json. No weights here (4 files, 17.6 GB, stay at the source).",
   "cost": "free",
   "url": "https://huggingface.co/PYTHAI/granite-4.2-8b-fork",
   "upstream": "ibm-granite/granite-4.2-8b",
   "private": false,
   "commit": "59a48ff",
   "status": "published",
   "updated": "2026-09-13",
   "hardware": null,
   "sdk": null,
   "short_description": null,
   "read": "hub"
  }
 ],
 "collection": {
  "id": "Gregory-L/platypus-6616e2a5ada8af37d24440bf",
  "title": "platypus",
  "models": [
   "akjindal53244/Mistral-7B-v0.1-Open-Platypus"
  ],
  "url": "https://huggingface.co/collections/Gregory-L/platypus-6616e2a5ada8af37d24440bf",
  "read": "hub"
 },
 "ingest": [
  {
   "id": "data",
   "name": "The loops' data (no inference)",
   "advantage": "history: every recorded answer, with no inference at all",
   "cost": "free",
   "auth": "none (public datasets)",
   "endpoint": "https://huggingface.co/datasets/PYTHAI/savante-loop/resolve/main/{.memory,.history,publication.json,agents/index.json}",
   "how": "Download the JSONL files and read them line by line. .memory is the record of each interaction (question, answer, carrier, token counts, timings, response_sha256), .history is derived from it, and agents/index.json lists the agent cards with their CIDs.",
   "code": "from huggingface_hub import hf_hub_download\nimport json\np = hf_hub_download(\"PYTHAI/savante-loop\", \".memory\", repo_type=\"dataset\")\nrecords = [json.loads(l) for l in open(p) if l.strip()]"
  },
  {
   "id": "mindxhfgradio",
   "name": "Bonsai on mindXhfgradio (free public CPU)",
   "advantage": "no cost and no auth: public Bonsai answers that feed the improve.skill loop",
   "cost": "free",
   "auth": "none (public Space)",
   "endpoint": "https://gregory-l-mindxhfgradio.hf.space · Gradio API /mindx",
   "how": "Call the Space with gradio_client. Set `bz_persona` to \"sAGI · Savante on Bonsai\", or to \"the system box above\" with your own `system` prompt. `where` chooses bonsai-8b or ternary-bonsai-8b. Answers come one at a time on a shared CPU (about 5–20 s warm, minutes when the Space is cold). It's a public Space, so send nothing private: sAGI answers there feed the public improve.skill loop.",
   "code": "# pip install \"gradio_client>=1.4\"   (checked with 2.7.2; 0.x cannot read this Space's API)\nfrom gradio_client import Client\nc = Client(\"Gregory-L/mindXhfgradio\")\ntext, stats_html, _ = c.predict(text=\"What is sAGI?\", where=\"ternary-bonsai-8b (CPU llama.cpp)\",\n    bz_persona=\"sAGI · Savante on Bonsai\", npred=256, temp=0.3, top_p=0.9, rg_use=False, api_name=\"/mindx\")\n# generic: bz_persona=\"the system box above\", system=\"You are a helpful, concise assistant.\"\n# stats_html: the engine's own counts (prompt · completion · total, tok/s, llama.cpp build)"
  },
  {
   "id": "platypus",
   "name": "Platypus on Gregory-L/platypusai (free CPU, llama.cpp)",
   "advantage": "no cost: a 7B instruction model behind an OpenAI-compatible endpoint",
   "cost": "free",
   "auth": "a Hugging Face read token (the Space is private)",
   "endpoint": "https://gregory-l-platypusai.hf.space/v1/chat/completions (OpenAI-compatible), /completion, /health",
   "how": "Once the model is converted (status.json: state ready), llama-server answers on the Space's CPU at about 2–4 tokens a second. Use the Open-Platypus format (### Instruction / ### Response) with /completion, or the chat endpoint. Calling a Space is not billed as inference.",
   "code": "curl -s https://gregory-l-platypusai.hf.space/completion \\\n  -H \"Authorization: Bearer $HF_READ_TOKEN\" -H \"Content-Type: application/json\" \\\n  -d '{\"prompt\":\"### Instruction:\\n\\nWhat is 17 * 23?\\n\\n### Response:\\n\",\"n_predict\":128,\"stop\":[\"### Instruction:\"]}'"
  },
  {
   "id": "node",
   "name": "bankML or llama.cpp on mindX's own node",
   "advantage": "verification and privacy: a receipt on every answer, a model pinned by sha256, nothing leaves the node",
   "cost": "free (your hardware)",
   "auth": "local, or an SSH tunnel",
   "endpoint": "bankml serve (http://127.0.0.1:18093) · llama-server (http://127.0.0.1:18092)",
   "how": "The verified route. `bankml serve` puts a receipt (response_sha256) on every answer and pins its model by sha256. Ingest the answer, check the receipt and keep the record in .memory.",
   "code": "curl -s http://127.0.0.1:18093/v1/chat/completions -H \"Content-Type: application/json\" \\\n  -d '{\"messages\":[{\"role\":\"user\",\"content\":\"who are you?\"}],\"max_tokens\":128}' | jq '.bankml_receipt'"
  },
  {
   "id": "browser",
   "name": "The browser engines (browseML and WebGPU)",
   "advantage": "privacy and no server cost: the model runs on the visitor's own device",
   "cost": "free (the visitor's device)",
   "auth": "none",
   "endpoint": "Gregory-L/Savante · Gregory-L/ultimate-webgpu: they run in the visitor's browser",
   "how": "These engines can't be called from a server: they answer only in the browser that loaded them. mindX ingests what they produce instead. The ultimate input field keeps every exchange in .history and every delivery in .memory (in the same shape as the loops' .memory, never sent to a model), and both export as JSONL from the field's Windows menu.",
   "code": "# the field's Windows ▸ .memory ▸ export → memory.jsonl\nrecords = [json.loads(l) for l in open('memory.jsonl') if l.strip()]\ndeliveries = [r for r in records if (r.get('source') or {}).get('kind') == 'delivery']"
  },
  {
   "id": "providers",
   "name": "Hugging Face Inference Providers",
   "advantage": "speed and scale: fast, large models on demand",
   "cost": "a small monthly free allowance, then paid",
   "auth": "the caller's token, billed to the caller",
   "endpoint": "https://router.huggingface.co/v1/chat/completions",
   "how": "Its advantage is speed and model size. It carries a small monthly free allowance and then bills the caller, so mindX takes this route when speed or scale is worth the cost and the token's owner has agreed to pay. Gregory-L/zeroscope and the provider carrier on Savante bill the visitor who signs in.",
   "code": "# billed to the caller's token beyond the monthly allowance\ncurl -s https://router.huggingface.co/v1/chat/completions -H \"Authorization: Bearer $HF_TOKEN\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"<model id>\",\"messages\":[{\"role\":\"user\",\"content\":\"What is sAGI?\"}],\"max_tokens\":256}'"
  }
 ],
 "voices": {
  "repo": "PYTHAI/voaice",
  "cards_index": "https://huggingface.co/PYTHAI/voaice/resolve/main/cards/index.json",
  "read": "hub",
  "format": "voaice-cards/1",
  "piper_cards": 70,
  "inhouse_cards": 11,
  "piper_mintable": 70,
  "inhouse_mintable": 5,
  "by_language": [
   {
    "code": "en",
    "language": "English",
    "voices": 11,
    "locales": [
     "en_GB",
     "en_US"
    ]
   },
   {
    "code": "nl",
    "language": "Dutch",
    "voices": 7,
    "locales": [
     "nl_BE",
     "nl_NL"
    ]
   },
   {
    "code": "es",
    "language": "Spanish",
    "voices": 5,
    "locales": [
     "es_ES",
     "es_MX"
    ]
   },
   {
    "code": "fr",
    "language": "French",
    "voices": 5,
    "locales": [
     "fr_FR"
    ]
   },
   {
    "code": "uk",
    "language": "Ukrainian",
    "voices": 5,
    "locales": [
     "uk_UA"
    ]
   },
   {
    "code": "de",
    "language": "German",
    "voices": 4,
    "locales": [
     "de_DE"
    ]
   },
   {
    "code": "kk",
    "language": "Kazakh",
    "voices": 3,
    "locales": [
     "kk_KZ"
    ]
   },
   {
    "code": "ca",
    "language": "Catalan",
    "voices": 2,
    "locales": [
     "ca_ES"
    ]
   },
   {
    "code": "el",
    "language": "Greek",
    "voices": 2,
    "locales": [
     "el_GR"
    ]
   },
   {
    "code": "eu",
    "language": "Basque",
    "voices": 2,
    "locales": [
     "eu_ES"
    ]
   },
   {
    "code": "fa",
    "language": "Persian",
    "voices": 2,
    "locales": [
     "fa_IR"
    ]
   },
   {
    "code": "it",
    "language": "Italian",
    "voices": 2,
    "locales": [
     "it_IT"
    ]
   },
   {
    "code": "sv",
    "language": "Swedish",
    "voices": 2,
    "locales": [
     "sv_SE"
    ]
   },
   {
    "code": "te",
    "language": "Telugu",
    "voices": 2,
    "locales": [
     "te_IN"
    ]
   },
   {
    "code": "ur",
    "language": "Urdu",
    "voices": 2,
    "locales": [
     "ur_PK"
    ]
   },
   {
    "code": "bn",
    "language": "Bengali",
    "voices": 1,
    "locales": [
     "bn_BD"
    ]
   },
   {
    "code": "cs",
    "language": "Czech",
    "voices": 1,
    "locales": [
     "cs_CZ"
    ]
   },
   {
    "code": "et",
    "language": "Estonian",
    "voices": 1,
    "locales": [
     "et_EE"
    ]
   },
   {
    "code": "fi",
    "language": "Finnish",
    "voices": 1,
    "locales": [
     "fi_FI"
    ]
   },
   {
    "code": "hy",
    "language": "Armenian",
    "voices": 1,
    "locales": [
     "hy_AM"
    ]
   },
   {
    "code": "lt",
    "language": "Lithuanian",
    "voices": 1,
    "locales": [
     "lt_LT"
    ]
   },
   {
    "code": "lv",
    "language": "Latvian",
    "voices": 1,
    "locales": [
     "lv_LV"
    ]
   },
   {
    "code": "mr",
    "language": "Marathi",
    "voices": 1,
    "locales": [
     "mr_IN"
    ]
   },
   {
    "code": "ne",
    "language": "Nepali",
    "voices": 1,
    "locales": [
     "ne_NP"
    ]
   },
   {
    "code": "no",
    "language": "Norwegian",
    "voices": 1,
    "locales": [
     "no_NO"
    ]
   },
   {
    "code": "pl",
    "language": "Polish",
    "voices": 1,
    "locales": [
     "pl_PL"
    ]
   },
   {
    "code": "pt",
    "language": "Portuguese",
    "voices": 1,
    "locales": [
     "pt_BR"
    ]
   },
   {
    "code": "sl",
    "language": "Slovenian",
    "voices": 1,
    "locales": [
     "sl_SI"
    ]
   },
   {
    "code": "zh",
    "language": "Chinese",
    "voices": 1,
    "locales": [
     "zh_CN"
    ]
   }
  ],
  "by_licence": [
   {
    "licence": "CC BY 4.0 International",
    "voices": 26
   },
   {
    "licence": "CC0 1.0 Universal (public domain dedication)",
    "voices": 19
   },
   {
    "licence": "Public domain",
    "voices": 9
   },
   {
    "licence": "Apache License 2.0",
    "voices": 5
   },
   {
    "licence": "CC BY-SA 4.0 International",
    "voices": 4
   },
   {
    "licence": "CC BY-SA 3.0 Spain",
    "voices": 2
   },
   {
    "licence": "MIT License",
    "voices": 2
   },
   {
    "licence": "The Unlicense",
    "voices": 1
   },
   {
    "licence": "GNU AGPL v3",
    "voices": 1
   },
   {
    "licence": "GNU GPL v2",
    "voices": 1
   }
  ],
  "inhouse": [
   {
    "id": "jaimla-espeak",
    "name": "voaice — JAIMLA (espeak-ng)",
    "mintable": true,
    "condition": "voaice's own measured identity; the engine (espeak-ng) is credited, and its output is not covered by the engine's licence"
   },
   {
    "id": "neural-espeak",
    "name": "voaice — NEURAL (espeak-ng)",
    "mintable": true,
    "condition": "voaice's own measured identity; the engine (espeak-ng) is credited, and its output is not covered by the engine's licence"
   },
   {
    "id": "overlord-espeak",
    "name": "voaice — OVERLORD (espeak-ng)",
    "mintable": true,
    "condition": "voaice's own measured identity; the engine (espeak-ng) is credited, and its output is not covered by the engine's licence"
   },
   {
    "id": "ovie-espeak",
    "name": "voaice — OVIE (espeak-ng)",
    "mintable": true,
    "condition": "voaice's own measured identity; the engine (espeak-ng) is credited, and its output is not covered by the engine's licence"
   },
   {
    "id": "participant-espeak",
    "name": "voaice — PARTICIPANT (espeak-ng)",
    "mintable": true,
    "condition": "voaice's own measured identity; the engine (espeak-ng) is credited, and its output is not covered by the engine's licence"
   },
   {
    "id": "jaimla",
    "name": "voaice — JAIMLA",
    "mintable": false,
    "condition": "rendered from en_GB-jenny_dioco-medium, whose terms (fine-tuned from lessac (inherits its research-only terms); own: See URL) do not allow sale. voaice keeps using it as an expression; re-render it on an open base voice to make it mintable"
   },
   {
    "id": "leader_tone",
    "name": "voaice — LEADER",
    "mintable": false,
    "condition": "rendered from en_GB-alan-medium, en_GB-jenny_dioco-medium, whose terms (fine-tuned from lessac (inherits its research-only terms); own: See URL) do not allow sale. voaice keeps using it as an expression; re-render it on an open base voice to make it mintable"
   },
   {
    "id": "leaderofearth",
    "name": "voaice — LEADER",
    "mintable": false,
    "condition": "rendered from en_GB-alan-medium, whose terms (fine-tuned from lessac (inherits its research-only terms); own: See URL) do not allow sale. voaice keeps using it as an expression; re-render it on an open base voice to make it mintable"
   },
   {
    "id": "neural",
    "name": "voaice — NEURAL",
    "mintable": false,
    "condition": "rendered from en_GB-alan-medium, whose terms (fine-tuned from lessac (inherits its research-only terms); own: See URL) do not allow sale. voaice keeps using it as an expression; re-render it on an open base voice to make it mintable"
   },
   {
    "id": "overlord",
    "name": "voaice — OVERLORD",
    "mintable": false,
    "condition": "rendered from en_GB-alan-medium, en_GB-jenny_dioco-medium, en_GB-northern_english_male-medium, whose terms (fine-tuned from lessac (inherits its research-only terms); own: CC-BY-SA 4.0 International; fine-tuned from lessac (inherits its research-only terms); own: See URL) do not allow sale. voaice keeps using it as an expression; re-render it on an open base voice to make it mintable"
   },
   {
    "id": "vclone",
    "name": "voaice — vCLONE",
    "mintable": false,
    "condition": "a template with nothing measured: there is no voice to mint until one is measured into it"
   }
  ],
  "savante": {
   "pool_format": "savante-voice-pool/1",
   "evolution": "SAVANTE's voice is being evolved by survival of the fittest from this pool: recipes are bred from the lineage, each render is scored by measured fitness (intelligibility by whisper.cpp, presence and timbre against the target, CPU cost), and the fittest is kept. NEURAL and JAIMLA are the two fixed references, set in stone; the target lies between them.",
   "references": {
    "neural": {
     "voice": "en_GB-alan-medium",
     "engine": "piper",
     "role": "the male reference — the voice that does not move",
     "f0_hz": 98
    },
    "jaimla": {
     "voice": "en_GB-jenny_dioco-medium",
     "engine": "piper",
     "role": "the female reference — the first voaice, whom SAVANTE is from",
     "f0_hz": 182
    }
   },
   "references_why": "SET IN STONE. NEURAL and JAIMLA are templates from our personal collection: immutable in docspeech_voices.json (kept recordings exist in both), never retuned, never replaced. They are the two fixed points SAVANTE is measured against. The fitness target is a point on the line between them, not either of them.",
   "target": {
    "toward_jaimla": 0.75,
    "f0_hz": 156,
    "centroid_hz": 2748
   },
   "open": {
    "mintable": true,
    "why": "OPEN — built only from open-licence voices (PYTHAI/voaice, voaice/piper-voices.json class 'open': an open licence AND not fine-tuned from a restricted voice). A SAVANTE from this lineage is mintable; attribution follows each layer's licence.",
    "voices": [
     {
      "voice": "en_GB-cori-high",
      "licence": "public domain",
      "accent": "British",
      "quality": "high",
      "not_yet": null
     },
     {
      "voice": "en_GB-cori-medium",
      "licence": "public domain",
      "accent": "British",
      "quality": "medium",
      "not_yet": null
     },
     {
      "voice": "en_GB-southern_english_female-low",
      "licence": "CC-BY-SA 4.0 International",
      "accent": "Southern English",
      "quality": "low",
      "not_yet": null
     },
     {
      "voice": "en_US-bryce-medium",
      "licence": "public domain",
      "accent": "American",
      "quality": "medium",
      "not_yet": null
     },
     {
      "voice": "en_US-john-medium",
      "licence": "public domain",
      "accent": "American",
      "quality": "medium",
      "not_yet": null
     },
     {
      "voice": "en_US-kathleen-low",
      "licence": "CC0",
      "accent": "American",
      "quality": "low",
      "not_yet": null
     },
     {
      "voice": "en_US-kristin-medium",
      "licence": "public domain",
      "accent": "American",
      "quality": "medium",
      "not_yet": null
     },
     {
      "voice": "en_US-libritts-high",
      "licence": "CC BY 4.0",
      "accent": "American (904 readers)",
      "quality": "high",
      "not_yet": "904 speakers is the richest gene in the pool, but utils/docspeech Piper.synth has no speaker argument, so it would always read as speaker 0. Not bred from until the engine takes --speaker."
     },
     {
      "voice": "en_US-ljspeech-high",
      "licence": "public domain",
      "accent": "American",
      "quality": "high",
      "not_yet": null
     },
     {
      "voice": "en_US-ljspeech-medium",
      "licence": "public domain",
      "accent": "American",
      "quality": "medium",
      "not_yet": null
     },
     {
      "voice": "en_US-norman-medium",
      "licence": "public domain",
      "accent": "American",
      "quality": "medium",
      "not_yet": null
     }
    ]
   },
   "inhouse": {
    "mintable": false,
    "why": "IN-HOUSE — the option of extrapolating SAVANTE entirely from our personal collection: NEURAL and JAIMLA as the templates, with LEADER's broadcast desk and OVERLORD's delivery lock as technique, and sAGI's northern male as the second neural male. Lessac-derived bases, so NOT mintable; kept in use as the realm's expressions (operator decision 2026-10-07).",
    "voices": [
     {
      "voice": "en_GB-jenny_dioco-medium",
      "as": "JAIMLA",
      "licence": "fine-tuned from lessac (research-only terms); jenny data: attribution \"Jenny (Dioco)\""
     },
     {
      "voice": "en_GB-alan-medium",
      "as": "NEURAL",
      "licence": "fine-tuned from lessac (research-only terms)"
     },
     {
      "voice": "en_GB-northern_english_male-medium",
      "as": "sAGI",
      "licence": "fine-tuned from lessac (research-only terms); data CC-BY-SA 4.0"
     }
    ]
   },
   "fitness": {
    "intelligibility": 0.35,
    "presence": 0.2,
    "timbre": 0.1,
    "efficiency": 0.15,
    "fidelity": 0.2
   }
  }
 },
 "uncurated": [],
 "unread": [
  {
   "id": "Gregory-L/zeroscope",
   "kind": "space",
   "http": 401,
   "last_seen": "2026-10-09 18:51 UTC"
  },
  {
   "id": "Gregory-L/platypusai",
   "kind": "space",
   "http": 401,
   "last_seen": "2026-10-09 18:51 UTC"
  },
  {
   "id": "Gregory-L/Mistral-7B-v0.1-Open-Platypus-GGUF",
   "kind": "model",
   "http": 401,
   "last_seen": "2026-10-09 18:51 UTC"
  },
  {
   "id": "PYTHAI/mindXascension",
   "kind": "model",
   "http": 401,
   "last_seen": "CLAUDE.md, 2026-09-10"
  }
 ],
 "renamed": [],
 "token": false,
 "hub_errors": [],
 "note": "Statuses were read from the Hugging Face Hub when this file was built. Private repos are named but open only to their owner."
}