Update model card.

README.md

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+---
+license: mit
+library_name: pytorch
+tags:
+  - motion-generation
+  - text-to-motion
+  - humanml3d
+  - controllable-generation
+  - kv-control
+pipeline_tag: text-to-motion
+---
+
+# KV-Control (T-Concat v4 backbone)
+
+Sparse-keyframe, multi-joint controllable text-to-motion generation. The
+repository at [github.com/Tevior/KV-Control](https://github.com/Tevior/KV-Control)
+contains the full training and inference code.
+
+## What is here
+
+| Path | Content | Size |
+|---|---|---|
+| `base_t_concat_v4/model/net_best_fid.tar` | Pre-trained T-Concat v4 masked-transformer base (the paper main backbone) | 168 MB |
+| `kv_control/model/net_best_kps.tar`       | KV-Control adapter trained on the base above | 520 MB |
+| `vqvae/net_best_fid.pth`                  | Part-aware VQ-VAE tokenizer (128 codes × 6 parts) | 236 MB |
+| `vqvae/skeleton_partition.json`           | Skeleton partition for the part-aware VQ | 1 KB |
+| `stats/{mean,std}.npy`                    | Normalization stats matching the released VQ | 4 KB |
+| `clip/ViT-B-32.pt`                        | OpenAI CLIP ViT-B/32 visual + text encoder | 336 MB |
+| `t2m/Comp_v6_KLD005/opt.txt + meta/`      | Frozen evaluation encoder config & stats | 3 KB |
+| `t2m/text_mot_match/model/finest.tar`     | Pre-trained text-motion eval encoder (Guo et al., 2022) | 235 MB |
+| `t2m/length_estimator/model/finest.tar`   | Pre-trained motion-length predictor | 1.7 MB |
+| `aux/body_models/`                        | SMPL neutral mesh + face / J_regressor (SMPL license) | 234 MB |
+| `aux/glove/`                              | Vocab files for the length estimator | 10 MB |
+
+## How to use
+
+```bash
+git clone https://github.com/Tevior/KV-Control.git
+cd KV-Control
+bash scripts/download_checkpoints.sh   # populates checkpoints/, aux/ → glove/, body_models/
+```
+
+Refer to the GitHub README for installation and quick-start commands.
+
+## Licenses
+
+* Our weights (`base_t_concat_v4`, `kv_control`, `vqvae`, `stats`) — **MIT**.
+* CLIP ViT-B/32 — released by OpenAI under MIT.
+* SMPL body model under `aux/body_models/` — original SMPL license (research-only).
+* Text-motion eval encoder / length estimator under `t2m/` — re-distributed
+  from the HumanML3D / Guo et al. 2022 release for reproducibility.
+
+## Citation
+
+```bibtex
+@article{kvcontrol2026,
+  title  = {KV-Control: Sparse-Keyframe Multi-Joint Text-to-Motion Generation},
+  author = {... (under review) ...},
+  year   = {2026},
+}
+```