Add exact c3-3 gradient-fixed CR10 2k strict M1 inference checkpoint

.gitattributes

@@ -115,3 +115,5 @@ c1-1/cr10_staged_cosine/packed_temporal_grid/iter_000004000/model/.metadata filt
 c1-1/cr10_staged_cosine/packed_temporal_grid/iter_000004000/model/__0_0.distcp filter=lfs diff=lfs merge=lfs -text
 c1-1/cr10_staged_cosine/packed_temporal_grid/iter_000004000/optim_compressor/.metadata filter=lfs diff=lfs merge=lfs -text
 c1-1/cr10_staged_cosine/packed_temporal_grid/iter_000004000/optim_compressor/__0_0.distcp filter=lfs diff=lfs merge=lfs -text
+c3-3/cr10_fullprefix_gradctxfix/iter_000002000/model/.metadata filter=lfs diff=lfs merge=lfs -text
+c3-3/cr10_fullprefix_gradctxfix/iter_000002000/model/__0_0.distcp filter=lfs diff=lfs merge=lfs -text

c3-3/cr10_fullprefix_gradctxfix/iter_000002000/README.md

@@ -0,0 +1,69 @@
+# CR10 strict M=1: gradient-fixed c3-3 compressor, iteration 2000
+
+This is the exact inference checkpoint used by the CR10 strict M=1 comparison.
+It is not the older c3-3 CR4/packed checkpoint or the c1-1 CR10 checkpoint.
+The run name ends in `raw_10k`, but the supplied checkpoint is iteration **2000**.
+
+## Code
+
+Repository: https://github.com/a-little-hoof/video-compress
+
+Pinned commit: `757194f78bad10f50d660d14342a5f18b82470f0`
+
+Branch: `exp/relax-official-shared-c3-20260909`
+
+The GitHub repository requires its own access authorization. Hugging Face read
+access does not automatically grant GitHub access.
+
+Entry point: `scripts/context_compression/generate_mbencht_c3_3_continuations.py`.
+The M=1 implementation is `generate_strict_relax_history_slot`; its exact method
+identifier is `c3_relax_slot_h1_cr10_matched_interval_replacement`.
+Raw matched control: `c3_relax_slot_h1_raw_control`.
+Released-policy adaptation: `c3_relax_forcing4_official_shared_frame`.
+The runtime is `rcm/inference/wan2pt1_t2v_causal_extrapolation_infer.py`.
+
+## Required separate generator
+
+Repository: `worstcoder/rcm-Wan`
+
+Revision: `142d77a331f1516fea772607c1bf25a2785a2505`
+
+Filename: `Causal_rCM_Wan2.1_T2V_1.3B_480p_TF-dCM-init_SF-DMD_c3-3_step4.pt`
+
+SHA256: `cc53e27e4501f58f43d1ca01dc2e5dde4df946ce5c85ab79695a902d929df008`
+
+Do not substitute the similarly named TF-sCM-init generator. The VAE and text
+encoder are `Wan2.1_VAE.pth` and `models_t5_umt5-xxl-enc-bf16.pth` in
+`worstcoder/Wan`, revision `18554de6b48df8ab2ae274972a076b27ad5cb602`.
+
+## Loading
+
+Download this entire checkpoint directory, including hidden `model/.metadata`
+and all `model/*.distcp` files. Pass its parent-of-model directory to
+`--packed_compressor_ckpt`, with `--checkpoint_iteration 2000 --memory_ratio 0.1`.
+Use `--model_size 1.3B --max_memory_tokens_per_frame 1024`.
+The pinned `generate_compressed_context.py::load_compressor_weights` supports
+this distributed-checkpoint layout. Optimizer state is not required for inference
+and is not included. This package is not a resumable training checkpoint.
+
+## What M=1 means
+
+At 832x480, active past context is two raw sink frames, one selected compressed
+1560-token frame-equivalent unit, and one raw recent frame: 6240 past KV tokens
+per layer. The current c3 chunk adds three latent frames. CR10 is the compressor
+ratio, not the number of active memory slots.
+
+Compress each complete 21-latent-frame block once. Contextualize the full
+compressed archive bidirectionally before selecting the one active unit;
+retain residual tokens for contextualization but not as selectable full units.
+The historical M=1 method selects independently per layer and freezes selected
+history KV between 21-frame boundaries. It uses raw bootstrap through frame 42.
+
+The released Relax adaptation differs in layer-shared selection, candidate
+grid, prototype reduction, reservoir policy, and three-frame refresh cadence.
+Changing those is an inference ablation, not an identical reproduction of the
+historical M=1 result. Keep the generator, checkpoint, prompts/noise, active
+context budget, and scoring protocol matched when testing individual changes.
+
+File hashes are supplied in `sha256_manifest.json`. No credentials, private
+launchers, or new training/evaluation results are included in this package.

c3-3/cr10_fullprefix_gradctxfix/iter_000002000/inference_config.json

@@ -0,0 +1,18 @@
+{
+  "checkpoint_iteration": 2000,
+  "checkpoint_layout": "pytorch_distributed_checkpoint",
+  "fps": 16,
+  "generation_protocol": "official_continuous_seed0_v1",
+  "max_memory_tokens_per_frame": 1024,
+  "memory_ratio": 0.1,
+  "method": "c3_relax_slot_h1_cr10_matched_interval_replacement",
+  "mid_t": [
+    "15/16",
+    "5/6",
+    "5/8"
+  ],
+  "model_size": "1.3B",
+  "num_steps": 4,
+  "seed": 0,
+  "sigma_max": 1600
+}

c3-3/cr10_fullprefix_gradctxfix/iter_000002000/model/.metadata

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c3-3/cr10_fullprefix_gradctxfix/iter_000002000/sha256_manifest.json

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+  "inference_only": true,
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+  "schema": "c3-strict-m1-checkpoint-handoff/v1",
+  "source_commit": "757194f78bad10f50d660d14342a5f18b82470f0",
+  "variant": "c3-3 CR10 full-prefix memory-only gradient-fixed"
+}