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Publish slim FP8 model with portable AdaLN constants; preserve original weights in history

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MODIFICATIONS.md +4 -8
README.md +26 -48
READY.json +0 -11
SHA256SUMS +208 -358
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MODIFICATIONS.md CHANGED Viewed

@@ -2,14 +2,10 @@
 Prepared by FreeVideo from OpenVDN/vdn-minimax-h3@751739ee5b9e3ac802dca5d5111075fdaeb47885. Powered by MiniMax H3.
-All published safetensors files carry the corresponding modification notice in their __metadata__ field. FP8 conversion and schedule precomputation were performed before packaging. Adding these notices changes file headers and checksums only: all tensor payload bytes, names, dtypes, shapes and offsets remain unchanged.
-cache/blocks/: eligible linear weights converted to per-tensor FP8; remaining parameters kept at their original precision; weights grouped by transformer block.
-cache/root.safetensors and cache/adaln/: original parameters repackaged into engine groups with unchanged values and precision.
-cache/adaln-tables-*/: eight-step task-specific modulation outputs derived from the model, with the producer identity retained beside each set.
-The cache manifest and per-table checksum receipts were updated for the new file headers. The model source identity and table arithmetic identity were preserved.
-bundle.json includes each tensor file notice, original and distributed SHA256, and the unchanged tensor-payload SHA256. LICENSE is an unmodified copy of the upstream model agreement. NOTICE retains the attribution required by that agreement.

 Prepared by FreeVideo from OpenVDN/vdn-minimax-h3@751739ee5b9e3ac802dca5d5111075fdaeb47885. Powered by MiniMax H3.
+The FP8 block and root archives are byte-for-byte identical to the earlier full Edge package and retain their embedded modification notices. Eligible linear weights use per-tensor FP8 scales; other parameters retain their source precision. Unused BF16 backup weights are omitted.
+The slim format removes original AdaLN projection groups from the default payload and makes their fixed eight-step modulation outputs required model assets. These table archives retain their original tensor bytes and embedded notices. Their directory/catalog identity now binds the weights and exact schedule, while the original GPU and software identity is retained separately as provenance. Identical visual-keyframe schedules share one table set.
+The optional original projection source is pinned to the prior complete repository revision. It is not part of the default download. A modulation-changing adapter or unsupported schedule may request it explicitly through the engine's compatibility path.
+The new catalog, identity records, manifest and model card describe this format change. LICENSE is an unmodified copy of the upstream agreement; NOTICE preserves the upstream attribution.

README.md CHANGED Viewed

@@ -19,88 +19,66 @@ tags:
 # VDN-H3 Edge
-**Prepared FP8 weights and reusable AdaLN tables for VDN-H3, packaged for the [FreeVideo engine](https://github.com/KBRASK/FreeVideo).**
-VDN-H3 Edge packages [OpenVDN's MiniMax-H3 derivative](https://huggingface.co/OpenVDN/vdn-minimax-h3) for resource-adaptive inference. It lets a compatible FreeVideo installation reuse prepared weights instead of downloading the original transformer and converting it locally. This is an inference package derived from existing weights; no additional training was performed. Powered by MiniMax H3.
-## Package contents
-| Component | Size, decimal GB | Purpose |
 | --- | ---: | --- |
-| FP8 transformer blocks and root parameters | 22.546 | Prepared model parameters |
-| Original AdaLN projection groups | 26.021 | Required by the current loader and for preparing unmatched schedules |
-| Three precomputed AdaLN table sets | 0.590 | Eight-step T2VA, I2VA and FL2VA schedules |
-The complete download is approximately **49.16 GB / 45.78 GiB**. Files are individual `safetensors` archives with checksums, so downloading does not require extracting a second large archive.
-**This revision still includes the original AdaLN projection weights.** FreeVideo's current cache loader and setup verifier require all 101 model groups. A smaller package that replaces those groups entirely with tables needs further runtime integration. Removing `cache/adaln/` from this revision makes the cache incomplete.
-The following are provided separately by FreeVideo setup: the shared text encoder, video/audio VAEs, Python environment and GPU dependencies. Existing compatible local files can be reused.
-## Tasks and table reuse
-| Table set | Task | Sampling schedule |
-| --- | --- | --- |
-| T2VA | Text to video with audio | 8 steps |
-| I2VA | First image to video with audio | 8 steps |
-| FL2VA | First and last images to video with audio | 8 steps |
-AdaLN tables depend on the model and task's sampling schedule, rather than the prompt, seed, output resolution or duration. The current runtime also checks the producing software, GPU identity and arithmetic settings before reusing a table. All producer identities are included.
-On an identity or schedule mismatch, FreeVideo prepares the corresponding tables from the included original AdaLN groups. This release preserves those checks; it does not certify that one machine's precomputed tables are bitwise interchangeable across GPUs. Task-specific input and conditioning support remains the responsibility of the engine.
-## Compatibility
-- **Format:** `freevideo-prepared-cache-v1`, FP8 with **per-tensor** scales. This is the engine's grouped cache, not a generic Diffusers checkpoint or a single-file ComfyUI model.
-- **Local use:** Linux, NVIDIA RTX PRO 6000 Blackwell Server Edition, SM120. This package is not a hardware benchmark or certification for RTX 30/40/5090 cards.
-- **Scale format:** setup must select a compatible per-tensor path. A rowwise FP8 cache is a different artifact; renaming this directory does not convert it.
-- **Weight preparation:** Torch 2.13 with CUDA 12.9. The recorded runtime and included table sets use Torch 2.13 with CUDA 13.0. Exact versions, source hashes and arithmetic identities are recorded in `bundle.json` and the table directories.
-- **Engine:** see the pinned engine commit in `bundle.json` and the [FreeVideo installation guide](https://github.com/KBRASK/FreeVideo#readme).
-The engine chooses placement and memory use from the actual machine and request. Download size is not a VRAM requirement. This model card makes no new speed, quality or minimum-memory claim; changing the packaging alone does not establish any of those measurements.
 ## Download and use
-Install the Hugging Face CLI if needed:
-```bash
-python -m pip install --upgrade huggingface_hub
-```
-If this repository is private or gated, authenticate with an account that has access:
 ```bash
 hf auth login
 ```
-Run the following from your FreeVideo checkout on Linux:
 ```bash
-hf download OpenVDN/vdn-minimax-h3-edge --local-dir models/vdn-h3-edge
 ./setup.sh --cache ./models/vdn-h3-edge/cache
 ```
-On Windows, from your FreeVideo checkout in PowerShell:
 ```powershell
-hf download OpenVDN/vdn-minimax-h3-edge --local-dir models/vdn-h3-edge
 .\setup.ps1 --cache .\models\vdn-h3-edge\cache
 ```
-Setup verifies the cache, detects the hardware and installs or reuses the remaining dependencies. Review its detected scale format and resource plan. Do not use this per-tensor package when setup requires a rowwise cache.
-For repeatable deployments, pin the verified revision listed in `READY.json` using `hf download --revision <revision>`. A completed upload has a `READY.json` receipt; until that file exists, the repository is still being populated.
 ## Provenance and integrity
-The weights derive from `OpenVDN/vdn-minimax-h3` revision [`751739ee5b9e3ac802dca5d5111075fdaeb47885`](https://huggingface.co/OpenVDN/vdn-minimax-h3/tree/751739ee5b9e3ac802dca5d5111075fdaeb47885), including the `h3-base` configuration and `stage-dmd-step-250` checkpoint.
-- `bundle.json` records pinned sources, producer identities and a file manifest.
-- `SHA256SUMS` records SHA256 hashes for the payload. The checksum list and the final upload receipt do not recursively checksum themselves.
-- Each prepared tensor file carries a modification notice in its `safetensors` metadata. [MODIFICATIONS.md](MODIFICATIONS.md) describes the transformations, and [NOTICE](NOTICE) preserves the required attribution.
-- Quantization, group packaging and precomputation are modifications of the upstream materials. Non-quantized parameters retain their source precision. Adding distribution metadata does not change any tensor values.
-No user prompts, generated media, machine-specific tuning profiles or credentials are included.
 ## License

 # VDN-H3 Edge
+Prepared FP8 weights and fixed AdaLN constants for the [FreeVideo engine](https://github.com/KBRASK/FreeVideo). Powered by MiniMax H3. No additional training was performed.
+This **slim revision downloads about 22.92 GB (21.34 GiB)**. It replaces 26.02 GB of original AdaLN projection weights with their precomputed eight-step outputs. The normal generation path does not load or recompute those projections.
+## Contents
+| Component | Decimal GB | Role |
 | --- | ---: | --- |
+| FP8 transformer blocks and root parameters | 22.547 | 51 prepared weight groups |
+| Two portable AdaLN table sets | 0.368 | Text-only and visual-keyframe timestep schedules |
+| Original AdaLN projection weights | 0 | Optional compatibility download only |
+Individual safetensors files avoid archive extraction and duplicate full-size unpacking. The text encoder, video/audio VAEs and runtime dependencies are installed separately. Download size is not the VRAM requirement.
+## Portable constants
+Tables are identified by the modulation weights, exact timestep values, row layout, dtype and an explicit arithmetic contract. Producer GPU, Torch and CUDA versions are **provenance, not cache compatibility requirements**. A different GPU does not cause these stored tensors to be recomputed.
+The text-only set covers the standard eight-step T2VA schedule. The visual-keyframe set covers the engine's eight-step I2VA, L2VA, FL2VA and visual-reference schedule. The independently produced I2VA and FL2VA tables were compared tensor by tensor and were identical, so they share one copy. Reference-audio schedules and custom step counts may require different tables.
+Prompt, seed, resolution and duration do not change these constants. Ordinary attention/FF LoRAs retain them. A LoRA that changes time embeddings or AdaLN projections invalidates the affected modulation identity. For an unmatched schedule or modulation-changing adapter, the engine can recover the optional original projections from the immutable earlier [full revision](https://huggingface.co/OpenVDN/vdn-minimax-h3-edge/tree/4f16eb1066d96592b84be0de532069f5d69fcfa9), with checksums and a disk-space check. This exceptional path can download approximately 26.02 GB and requires access to that revision.
+## Compatibility and validation
+- Format: `freevideo-fp8-slim-v1` with `freevideo-adaln-v2` constants. This is an engine package, not a generic single-file Diffusers or ComfyUI checkpoint.
+- FP8 scales: **per-tensor**. Automatic setup uses this format for Blackwell. A native rowwise path needs a different FP8 artifact; portable AdaLN does not convert one FP8 scale format into another.
+- Requires a FreeVideo engine version supporting the slim format. The exact compatible source revision is recorded in `bundle.json`. Its source publication is pending; older released engines cannot read this format. This private model release must be used with the matching updated engine.
+- One complete 1344×768, 362-frame, eight-step T2VA request on Linux SM120 was compared with the original full prepared model, using the same seed, conditioning, FP8 policy and Sage2 configuration. Video latents, audio latents, raw RGB and raw float audio were all **bitwise equal**. The runtime loaded all 50 modulation tables and read no omitted projection groups.
+- This validates packaging and reuse for that request. It does not certify other GPUs or every adapter/task combination, and makes no new minimum-memory or speed claim.
 ## Download and use
+Authenticate with an account that has access if the repository is private or gated:
 ```bash
 hf auth login
+hf download OpenVDN/vdn-minimax-h3-edge --local-dir models/vdn-h3-edge
 ```
+From a compatible FreeVideo checkout on Linux:
 ```bash
 ./setup.sh --cache ./models/vdn-h3-edge/cache
 ```
+On Windows, from PowerShell:
 ```powershell
 .\setup.ps1 --cache .\models\vdn-h3-edge\cache
 ```
+The updated GUI can discover this bundle when its directory is selected for model reuse. Setup checks the complete table catalog, checksums, weight format and hardware. Existing original caches remain supported. The updated installer supports pinned prebuilt downloads: after its release catalog is pinned to this verified revision, matching Blackwell installations download the slim model directly and skip the original transformer download and local FP8 conversion. It checks private-repository access before large installation work and never sends the token to automatic mirrors. Native rowwise routes retain original preparation until a verified matching artifact is published; precision is never silently changed. The compatible installer source update is pending publication.
+For repeatable deployments use `hf download --revision <content_revision>`, taking the verified revision from `READY.json`.
 ## Provenance and integrity
+Source model: `OpenVDN/vdn-minimax-h3@751739ee5b9e3ac802dca5d5111075fdaeb47885`. `bundle.json` records pinned source code, formats and producer identities. `SHA256SUMS` covers the payload. `READY.json` is published only after every remote payload size and LFS SHA256 or Git blob has been checked.
+Every tensor archive retains its modification notice. [MODIFICATIONS.md](MODIFICATIONS.md) describes grouping, FP8 conversion, precomputation and this slim packaging change. [NOTICE](NOTICE) preserves upstream attribution. No user prompts, generated media, hardware-specific tuning profiles or credentials are distributed.
 ## License

READY.json DELETED Viewed

@@ -1,11 +0,0 @@
-{
-  "status": "complete",
-  "format": "freevideo-prepared-cache-v1",
-  "repo": "OpenVDN/vdn-minimax-h3-edge",
-  "content_revision": "4f16eb1066d96592b84be0de532069f5d69fcfa9",
-  "files_verified": 427,
-  "total_bytes": 49159522616,
-  "scope": "Every payload size and LFS SHA256 or Git blob verified against the prepared local files. Existing per-tensor runtime format; precomputed tables retain their producer identity. Original AdaLN projection weights remain required. No new GPU performance or quality certification.",
-  "started_epoch": 1789292019.3319721,
-  "completed_epoch": 1789292404.621647
-}

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