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Rename subsets and folders to lcs-1k, lcs-10k, and imagenet-200k

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Use matching subset and top-level folder names. Update README downloads, encoder catalog, metadata paths, LFS attributes, file inventory, and checksums. Preserve all NumPy feature objects and sample rows.

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  1. .gitattributes +1 -1
  2. FILES.json +0 -0
  3. README.md +105 -106
  4. checksums.sha256 +0 -0
  5. encoders.json +0 -0
  6. {imagenet1k/train200k → imagenet-200k}/export_manifest.json +1 -1
  7. {imagenet1k/train200k → imagenet-200k}/features/001_clip_openai__l14.npy +0 -0
  8. {imagenet1k/train200k → imagenet-200k}/features/002_dino_vitb16.npy +0 -0
  9. {imagenet1k/train200k → imagenet-200k}/features/003_dino_vitb8.npy +0 -0
  10. {imagenet1k/train200k → imagenet-200k}/features/004_dino_vits16.npy +0 -0
  11. {imagenet1k/train200k → imagenet-200k}/features/005_dino_vits8.npy +0 -0
  12. {imagenet1k/train200k → imagenet-200k}/features/006_dinov2_base.npy +0 -0
  13. {imagenet1k/train200k → imagenet-200k}/features/007_dinov2_giant.npy +0 -0
  14. {imagenet1k/train200k → imagenet-200k}/features/008_dinov2_large.npy +0 -0
  15. {imagenet1k/train200k → imagenet-200k}/features/009_dinov2_small.npy +0 -0
  16. {imagenet1k/train200k → imagenet-200k}/features/010_dinov3_vitl16.npy +0 -0
  17. {imagenet1k/train200k → imagenet-200k}/features/011_toklip_l_384.npy +0 -0
  18. {imagenet1k/train200k → imagenet-200k}/features/012_toklip_s_256.npy +0 -0
  19. {imagenet1k/train200k → imagenet-200k}/features/013_uniar_bsq.npy +0 -0
  20. {imagenet1k/train200k → imagenet-200k}/features/014_unitok_attn.npy +0 -0
  21. {imagenet1k/train200k → imagenet-200k}/features/015_vilau_256.npy +0 -0
  22. {imagenet1k/train200k → imagenet-200k}/features/016_eupe_convnext_b.npy +0 -0
  23. {imagenet1k/train200k → imagenet-200k}/features/017_eupe_vit_b.npy +0 -0
  24. {imagenet1k/train200k → imagenet-200k}/features/018_eupe_vit_s.npy +0 -0
  25. {imagenet1k/train200k → imagenet-200k}/features/019_eupe_vit_t.npy +0 -0
  26. {imagenet1k/train200k → imagenet-200k}/features/020_ijepa_vith14.npy +0 -0
  27. {imagenet1k/train200k → imagenet-200k}/features/021_mc1_b16_224_2.5b.npy +0 -0
  28. {imagenet1k/train200k → imagenet-200k}/features/022_mc1_b16_224_400m.npy +0 -0
  29. {imagenet1k/train200k → imagenet-200k}/features/023_mc1_b32_224_2.5b.npy +0 -0
  30. {imagenet1k/train200k → imagenet-200k}/features/024_mc1_b32_224_400m.npy +0 -0
  31. {imagenet1k/train200k → imagenet-200k}/features/025_mc1_g14_224_2.5b.npy +0 -0
  32. {imagenet1k/train200k → imagenet-200k}/features/026_mc1_h14_224_2.5b.npy +0 -0
  33. {imagenet1k/train200k → imagenet-200k}/features/027_mc1_h14_224_v1.2.npy +0 -0
  34. {imagenet1k/train200k → imagenet-200k}/features/028_mc1_l14_224_2.5b.npy +0 -0
  35. {imagenet1k/train200k → imagenet-200k}/features/029_mc1_l14_224_400m.npy +0 -0
  36. {imagenet1k/train200k → imagenet-200k}/features/030_mc2_b16_224.npy +0 -0
  37. {imagenet1k/train200k → imagenet-200k}/features/031_mc2_b16_384.npy +0 -0
  38. {imagenet1k/train200k → imagenet-200k}/features/032_mc2_b32_224.npy +0 -0
  39. {imagenet1k/train200k → imagenet-200k}/features/033_mc2_b32_224_mt5.npy +0 -0
  40. {imagenet1k/train200k → imagenet-200k}/features/034_mc2_b32_384.npy +0 -0
  41. {imagenet1k/train200k → imagenet-200k}/features/035_mc2_g14_224.npy +0 -0
  42. {imagenet1k/train200k → imagenet-200k}/features/036_mc2_g14_378.npy +0 -0
  43. {imagenet1k/train200k → imagenet-200k}/features/037_mc2_h14_378.npy +0 -0
  44. {imagenet1k/train200k → imagenet-200k}/features/038_mc2_l14_224.npy +0 -0
  45. {imagenet1k/train200k → imagenet-200k}/features/039_mc2_m16_224.npy +0 -0
  46. {imagenet1k/train200k → imagenet-200k}/features/040_mc2_m16_224_mt5.npy +0 -0
  47. {imagenet1k/train200k → imagenet-200k}/features/041_mc2_m16_384.npy +0 -0
  48. {imagenet1k/train200k → imagenet-200k}/features/042_mc2_s16_224.npy +0 -0
  49. {imagenet1k/train200k → imagenet-200k}/features/043_mc2_s16_224_mt5.npy +0 -0
  50. {imagenet1k/train200k → imagenet-200k}/features/044_mc2_s16_384.npy +0 -0
.gitattributes CHANGED
@@ -1,3 +1,3 @@
1
  *.npy filter=lfs diff=lfs merge=lfs -text
2
  *.jsonl filter=lfs diff=lfs merge=lfs -text
3
- imagenet1k/train200k/protocols/knn_seed42.json filter=lfs diff=lfs merge=lfs -text
 
1
  *.npy filter=lfs diff=lfs merge=lfs -text
2
  *.jsonl filter=lfs diff=lfs merge=lfs -text
3
+ imagenet-200k/protocols/knn_seed42.json filter=lfs diff=lfs merge=lfs -text
FILES.json CHANGED
The diff for this file is too large to render. See raw diff
 
README.md CHANGED
@@ -21,19 +21,19 @@ tags:
21
  - numpy
22
  - arxiv:2610.05413
23
  configs:
24
- - config_name: lcs558k_n1000_seed42
25
  default: true
26
  data_files:
27
  - split: train
28
- path: lcs558k/n1000_seed42/samples/samples.jsonl
29
- - config_name: lcs558k_n10000_seed42plus43
30
  data_files:
31
  - split: train
32
- path: lcs558k/n10000_seed42plus43/samples/samples.jsonl
33
- - config_name: imagenet1k_train200k
34
  data_files:
35
  - split: train
36
- path: imagenet1k/train200k/samples/samples.jsonl
37
  ---
38
 
39
  <h1 align="center">A Strong Baseline for Evaluating Vision Encoders<br>in Multimodal Large Language Models</h1>
@@ -70,9 +70,9 @@ This repository provides the three cached feature subsets listed below. Raw imag
70
 
71
  | Method | Data needed | Available here / source |
72
  |---|---|---|
73
- | RAVEL | Paired LCS-558K image patches and text features | `lcs558k/n1000_seed42/` and `lcs558k/n10000_seed42plus43/` |
74
  | RSA, CCA, GW, MutualNN | Paired LCS-558K global image vectors and text features | Shared samples and text are included; prepare the required global image vectors separately |
75
- | kNN | ImageNet training features, labels, and support/query split | `imagenet1k/train200k/` |
76
  | Linear probing | ImageNet train and validation images | [ImageNet](https://www.image-net.org/download.php); the released 200k cache contains training images only |
77
  | Alignment probing | COCO Karpathy captions; DreamLIP CC3M for the cross-dataset variants | [COCO / Karpathy splits](https://cs.stanford.edu/people/karpathy/deepimagesent/) and [DreamLIP captions](https://huggingface.co/datasets/qidouxiong619/dreamlip_long_captions) |
78
  | AC Policy / Law of Vision Representation | LCS-558K, Stage-1 projectors, and SPair-71k | [LLaVA-Pretrain](https://huggingface.co/datasets/liuhaotian/LLaVA-Pretrain), [Model Zoo](https://huggingface.co/336labs/VisionEncoder-to-MLLM-ModelZoo), and [SPair-71k](https://cvlab.postech.ac.kr/research/SPair-71k/index.html) |
@@ -141,10 +141,9 @@ Total prepared contents, including shared metadata and protocols: approximately
141
 
142
  ```text
143
  features/
144
- lcs558k/
145
- n1000_seed42/{vision,text,samples}/
146
- n10000_seed42plus43/{vision,text,samples}/
147
- imagenet1k/train200k/
148
  features/
149
  metadata/
150
  samples/
@@ -156,7 +155,7 @@ features/
156
  checksums.sha256
157
  ```
158
 
159
- ### LCS-558K: 1,000 paired examples, seed 42
160
 
161
  The source is the `blip_laion_cc_sbu_558k.json` alignment annotation set from [LLaVA-Pretrain](https://huggingface.co/datasets/liuhaotian/LLaVA-Pretrain). The cached subset was sampled with `numpy.default_rng(42).choice`, without replacement, retaining the **unsorted sampled order**. The ordered manifest identifies the exact selected records; the original full-source annotation hash/revision is not recorded in every historical audit.
162
 
@@ -182,7 +181,7 @@ Row `i` in **every visual array and every text array** refers to row `i` of `sam
182
 
183
  The full manifest additionally retains the source conversation records and sampling information. Raw images are available from the upstream dataset.
184
 
185
- ### LCS-558K: 10,000 paired examples, seed 42 + disjoint seed 43
186
 
187
  This larger cache contains **70 encoders × 10,000 images** as raw float16 patch tokens, stored in **two ordered 5,000-row blocks per encoder**. The first block uses the fixed seed-42 sample; the second uses seed 43 after excluding the first block by source annotation index, image ID, text ID, and image-file content hash. The original first block contains 11 repeated image-content rows; the disjoint-content check applies between blocks and within the new block. The two blocks have matching patch shapes and storage dtypes for each encoder.
188
 
@@ -193,11 +192,11 @@ This larger cache contains **70 encoders × 10,000 images** as raw float16 patch
193
 
194
  The combined sample table has **10,000 records**. `row_index` addresses the combined sample table; `block_index` and `block_row_index` address the stored feature array. `source_index` identifies the original LCS annotation record. The released `source_indices.npy` files are reconstructed from the canonical manifests. Historical `indices_n5000` / `indices_new5000` files contained only `0..4999` block row positions; those positions are not original annotation indices.
195
 
196
- The paired text cache contains **Qwen2.5-1.5B-Instruct, Qwen3-1.7B, and SmolLM2-1.7B-Instruct**, each as two float32 arrays of `[5000, D]` (`D=1536, 2048, 2048`). These historical arrays use the **penultimate hidden state at the last non-padding token**. Their metadata retains the original extraction audit and manifest hashes. Exact historical model revisions are absent from these audits. This text surface differs from the **mean over valid tokens** used by the published LCS-1000 paper cache; choose the intended surface explicitly.
197
 
198
- Use [feature_manifest.json](lcs558k/n10000_seed42plus43/feature_manifest.json), the block sample manifests, and [index_semantics.json](lcs558k/n10000_seed42plus43/samples/index_semantics.json) when loading the arrays. The 1,000- and 5,000-sample seed-42 draws were sampled independently; **do not assume the LCS-1000 cache is the first 1,000 rows of this larger cache**. No visual pooling, PCA, whitening, or precision conversion was applied to these blocks.
199
 
200
- ### ImageNet-1K: 200,000 training examples
201
 
202
  The subset contains **200 examples per class**, across **1,000 classes**, from the official ImageNet-1K training split. The export records a **support-sampling seed of 0**; the exact selected examples are given by `source_indices.npy`. All 70 arrays have shape **`[200000, D]`** and are stored as **float32**. Shared `source_indices.npy` is strictly increasing in the original train-index order; `labels.npy` contains integer class IDs `0–999`.
203
 
@@ -222,13 +221,13 @@ root = Path(snapshot_download(
222
  repo_type="dataset",
223
  allow_patterns=[
224
  "encoders.json", "README.md", "LICENSES.md",
225
- "lcs558k/n1000_seed42/samples/**",
226
- "lcs558k/n1000_seed42/vision/clip_openai__l14*",
227
- "lcs558k/n1000_seed42/text/qwen3*",
228
  ],
229
  local_dir="features",
230
  ))
231
- base = root / "lcs558k/n1000_seed42"
232
  vision = np.load(base / "vision/clip_openai__l14_patch_n1000_seed42.npy",
233
  mmap_mode="r", allow_pickle=False)
234
  text = np.load(base / "text/qwen3_penultimate_mean_n1000_seed42.npy",
@@ -250,14 +249,14 @@ root = Path(snapshot_download(
250
  repo_type="dataset",
251
  allow_patterns=[
252
  "encoders.json", "README.md", "LICENSES.md",
253
- "lcs558k/n10000_seed42plus43/feature_manifest.json",
254
- "lcs558k/n10000_seed42plus43/samples/**",
255
- "lcs558k/n10000_seed42plus43/vision/clip_openai__l14/**",
256
- "lcs558k/n10000_seed42plus43/text/qwen3/**",
257
  ],
258
  local_dir="features",
259
  ))
260
- base = root / "lcs558k/n10000_seed42plus43"
261
  blocks = ["part0_seed42", "part1_seed43_disjoint"]
262
  vision_parts = [np.load(base / f"vision/clip_openai__l14/{part}.npy",
263
  mmap_mode="r", allow_pickle=False) for part in blocks]
@@ -284,16 +283,16 @@ root = Path(snapshot_download(
284
  repo_type="dataset",
285
  allow_patterns=[
286
  "encoders.json", "README.md", "LICENSES.md",
287
- "imagenet1k/train200k/features/001_clip_openai__l14.npy",
288
- "imagenet1k/train200k/metadata/001_clip_openai__l14.json",
289
- "imagenet1k/train200k/labels.npy",
290
- "imagenet1k/train200k/source_indices.npy",
291
- "imagenet1k/train200k/samples/**",
292
- "imagenet1k/train200k/protocols/**",
293
  ],
294
  local_dir="features",
295
  ))
296
- base = root / "imagenet1k/train200k"
297
  features = np.load(base / "features/001_clip_openai__l14.npy",
298
  mmap_mode="r", allow_pickle=False)
299
  labels = np.load(base / "labels.npy", allow_pickle=False)
@@ -308,11 +307,11 @@ query_rows = np.asarray(protocol["query_indices"])
308
  from datasets import load_dataset
309
 
310
  lcs_samples = load_dataset("336labs/VisionEncoder-Features",
311
- "lcs558k_n1000_seed42", split="train")
312
  lcs10k_samples = load_dataset("336labs/VisionEncoder-Features",
313
- "lcs558k_n10000_seed42plus43", split="train")
314
  imagenet_samples = load_dataset("336labs/VisionEncoder-Features",
315
- "imagenet1k_train200k", split="train")
316
  ```
317
 
318
  The three dataset configurations expose **sample metadata tables** in the Dataset Viewer and `load_dataset`. Download the large feature arrays separately and load them with NumPy. A complete download uses `snapshot_download` with `repo_type="dataset"` and no `allow_patterns`; selective downloads are usually sufficient.
@@ -323,76 +322,76 @@ The three dataset configurations expose **sample metadata tables** in the Datase
323
 
324
  | Tokenizer ID | Family | LCS `[T, D]` | ImageNet `D` | Feature files |
325
  | --- | --- | --- | ---: | --- |
326
- | [`toklip_l_384`](https://huggingface.co/TencentARC/TokLIP) | DISCRETE | `[576, 1152]` | 1152 | [patches](lcs558k/n1000_seed42/vision/toklip_l_384_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/011_toklip_l_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/toklip_l_384) |
327
- | [`toklip_s_256`](https://huggingface.co/TencentARC/TokLIP) | DISCRETE | `[256, 1152]` | 1152 | [patches](lcs558k/n1000_seed42/vision/toklip_s_256_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/012_toklip_s_256.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/toklip_s_256) |
328
- | [`uniar_bsq`](https://huggingface.co/ShareLab-SII/UniAR-SFT/tree/main/bsq_encoder) | DISCRETE | `[1024, 4608]` | 4096 | [patches](lcs558k/n1000_seed42/vision/uniar_bsq_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/013_uniar_bsq.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/uniar_bsq) |
329
- | [`unitok_attn`](https://huggingface.co/FoundationVision/unitok_tokenizer) | DISCRETE | `[256, 1024]` | 1024 | [patches](lcs558k/n1000_seed42/vision/unitok_attn_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/014_unitok_attn.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/unitok_attn) |
330
- | [`vilau_256`](https://huggingface.co/mit-han-lab/vila-u-7b-256) | DISCRETE | `[256, 1024]` | 1024 | [patches](lcs558k/n1000_seed42/vision/vilau_256_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/015_vilau_256.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/vilau_256) |
331
- | [`clip_openai__l14`](https://huggingface.co/openai/clip-vit-large-patch14) | LANG | `[256, 1024]` | 1024 | [patches](lcs558k/n1000_seed42/vision/clip_openai__l14_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/001_clip_openai__l14.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/clip_openai__l14) |
332
- | [`mc1_b16_224_2.5b`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[196, 768]` | 768 | [patches](lcs558k/n1000_seed42/vision/mc1_b16_224_2.5b_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/021_mc1_b16_224_2.5b.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc1_b16_224_2.5b) |
333
- | [`mc1_b16_224_400m`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[196, 768]` | 768 | [patches](lcs558k/n1000_seed42/vision/mc1_b16_224_400m_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/022_mc1_b16_224_400m.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc1_b16_224_400m) |
334
- | [`mc1_b32_224_2.5b`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[49, 768]` | 768 | [patches](lcs558k/n1000_seed42/vision/mc1_b32_224_2.5b_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/023_mc1_b32_224_2.5b.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc1_b32_224_2.5b) |
335
- | [`mc1_b32_224_400m`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[49, 768]` | 768 | [patches](lcs558k/n1000_seed42/vision/mc1_b32_224_400m_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/024_mc1_b32_224_400m.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc1_b32_224_400m) |
336
- | [`mc1_g14_224_2.5b`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[256, 1664]` | 1664 | [patches](lcs558k/n1000_seed42/vision/mc1_g14_224_2.5b_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/025_mc1_g14_224_2.5b.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc1_g14_224_2.5b) |
337
- | [`mc1_h14_224_2.5b`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[256, 1280]` | 1280 | [patches](lcs558k/n1000_seed42/vision/mc1_h14_224_2.5b_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/026_mc1_h14_224_2.5b.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc1_h14_224_2.5b) |
338
- | [`mc1_h14_224_v1.2`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[256, 1280]` | 1280 | [patches](lcs558k/n1000_seed42/vision/mc1_h14_224_v1.2_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/027_mc1_h14_224_v1.2.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc1_h14_224_v1.2) |
339
- | [`mc1_l14_224_2.5b`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[256, 1024]` | 1024 | [patches](lcs558k/n1000_seed42/vision/mc1_l14_224_2.5b_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/028_mc1_l14_224_2.5b.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc1_l14_224_2.5b) |
340
- | [`mc1_l14_224_400m`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[256, 1024]` | 1024 | [patches](lcs558k/n1000_seed42/vision/mc1_l14_224_400m_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/029_mc1_l14_224_400m.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc1_l14_224_400m) |
341
- | [`mc2_b16_224`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[196, 768]` | 768 | [patches](lcs558k/n1000_seed42/vision/mc2_b16_224_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/030_mc2_b16_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc2_b16_224) |
342
- | [`mc2_b16_384`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[576, 768]` | 768 | [patches](lcs558k/n1000_seed42/vision/mc2_b16_384_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/031_mc2_b16_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc2_b16_384) |
343
- | [`mc2_b32_224`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[49, 768]` | 768 | [patches](lcs558k/n1000_seed42/vision/mc2_b32_224_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/032_mc2_b32_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc2_b32_224) |
344
- | [`mc2_b32_224_mt5`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[49, 768]` | 768 | [patches](lcs558k/n1000_seed42/vision/mc2_b32_224_mt5_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/033_mc2_b32_224_mt5.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc2_b32_224_mt5) |
345
- | [`mc2_b32_384`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[144, 768]` | 768 | [patches](lcs558k/n1000_seed42/vision/mc2_b32_384_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/034_mc2_b32_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc2_b32_384) |
346
- | [`mc2_g14_224`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[256, 1664]` | 1664 | [patches](lcs558k/n1000_seed42/vision/mc2_g14_224_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/035_mc2_g14_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc2_g14_224) |
347
- | [`mc2_g14_378`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[729, 1664]` | 1664 | [patches](lcs558k/n1000_seed42/vision/mc2_g14_378_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/036_mc2_g14_378.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc2_g14_378) |
348
- | [`mc2_h14_378`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[729, 1280]` | 1280 | [patches](lcs558k/n1000_seed42/vision/mc2_h14_378_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/037_mc2_h14_378.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc2_h14_378) |
349
- | [`mc2_l14_224`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[256, 1024]` | 1024 | [patches](lcs558k/n1000_seed42/vision/mc2_l14_224_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/038_mc2_l14_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc2_l14_224) |
350
- | [`mc2_m16_224`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[196, 512]` | 512 | [patches](lcs558k/n1000_seed42/vision/mc2_m16_224_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/039_mc2_m16_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc2_m16_224) |
351
- | [`mc2_m16_224_mt5`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[196, 512]` | 512 | [patches](lcs558k/n1000_seed42/vision/mc2_m16_224_mt5_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/040_mc2_m16_224_mt5.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc2_m16_224_mt5) |
352
- | [`mc2_m16_384`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[576, 512]` | 512 | [patches](lcs558k/n1000_seed42/vision/mc2_m16_384_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/041_mc2_m16_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc2_m16_384) |
353
- | [`mc2_s16_224`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[196, 384]` | 384 | [patches](lcs558k/n1000_seed42/vision/mc2_s16_224_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/042_mc2_s16_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc2_s16_224) |
354
- | [`mc2_s16_224_mt5`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[196, 384]` | 384 | [patches](lcs558k/n1000_seed42/vision/mc2_s16_224_mt5_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/043_mc2_s16_224_mt5.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc2_s16_224_mt5) |
355
- | [`mc2_s16_384`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[576, 384]` | 384 | [patches](lcs558k/n1000_seed42/vision/mc2_s16_384_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/044_mc2_s16_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/mc2_s16_384) |
356
- | [`pe_core_b16_224`](https://huggingface.co/facebook/PE-Core-B16-224) | LANG | `[196, 768]` | 768 | [patches](lcs558k/n1000_seed42/vision/pe_core_b16_224_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/045_pe_core_b16_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/pe_core_b16_224) |
357
- | [`pe_core_g14_448`](https://huggingface.co/facebook/PE-Core-G14-448) | LANG | `[1024, 1536]` | 1536 | [patches](lcs558k/n1000_seed42/vision/pe_core_g14_448_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/046_pe_core_g14_448.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/pe_core_g14_448) |
358
- | [`pe_lang_l14_448`](https://huggingface.co/facebook/PE-Lang-L14-448) | LANG | `[1024, 1024]` | 1024 | [patches](lcs558k/n1000_seed42/vision/pe_lang_l14_448_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/047_pe_lang_l14_448.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/pe_lang_l14_448) |
359
- | [`siglip2_b16_224`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[196, 768]` | 768 | [patches](lcs558k/n1000_seed42/vision/siglip2_b16_224_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/052_siglip2_b16_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/siglip2_b16_224) |
360
- | [`siglip2_b16_256`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[256, 768]` | 768 | [patches](lcs558k/n1000_seed42/vision/siglip2_b16_256_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/053_siglip2_b16_256.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/siglip2_b16_256) |
361
- | [`siglip2_b16_384`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[576, 768]` | 768 | [patches](lcs558k/n1000_seed42/vision/siglip2_b16_384_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/054_siglip2_b16_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/siglip2_b16_384) |
362
- | [`siglip2_b16_512`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[1024, 768]` | 768 | [patches](lcs558k/n1000_seed42/vision/siglip2_b16_512_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/055_siglip2_b16_512.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/siglip2_b16_512) |
363
- | [`siglip2_b32_256`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[64, 768]` | 768 | [patches](lcs558k/n1000_seed42/vision/siglip2_b32_256_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/056_siglip2_b32_256.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/siglip2_b32_256) |
364
- | [`siglip2_g16_256`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[256, 1536]` | 1536 | [patches](lcs558k/n1000_seed42/vision/siglip2_g16_256_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/057_siglip2_g16_256.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/siglip2_g16_256) |
365
- | [`siglip2_g16_384`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[576, 1536]` | 1536 | [patches](lcs558k/n1000_seed42/vision/siglip2_g16_384_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/058_siglip2_g16_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/siglip2_g16_384) |
366
- | [`siglip2_l16_256`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[256, 1024]` | 1024 | [patches](lcs558k/n1000_seed42/vision/siglip2_l16_256_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/059_siglip2_l16_256.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/siglip2_l16_256) |
367
- | [`siglip2_l16_384`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[576, 1024]` | 1024 | [patches](lcs558k/n1000_seed42/vision/siglip2_l16_384_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/060_siglip2_l16_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/siglip2_l16_384) |
368
- | [`siglip2_l16_512`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[1024, 1024]` | 1024 | [patches](lcs558k/n1000_seed42/vision/siglip2_l16_512_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/061_siglip2_l16_512.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/siglip2_l16_512) |
369
- | [`siglip2_sm14_224`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[256, 1152]` | 1152 | [patches](lcs558k/n1000_seed42/vision/siglip2_sm14_224_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/062_siglip2_sm14_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/siglip2_sm14_224) |
370
- | [`siglip2_sm14_384`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[729, 1152]` | 1152 | [patches](lcs558k/n1000_seed42/vision/siglip2_sm14_384_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/063_siglip2_sm14_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/siglip2_sm14_384) |
371
- | [`siglip2_sm16_256`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[256, 1152]` | 1152 | [patches](lcs558k/n1000_seed42/vision/siglip2_sm16_256_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/064_siglip2_sm16_256.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/siglip2_sm16_256) |
372
- | [`siglip2_sm16_384`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[576, 1152]` | 1152 | [patches](lcs558k/n1000_seed42/vision/siglip2_sm16_384_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/065_siglip2_sm16_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/siglip2_sm16_384) |
373
- | [`siglip2_sm16_512`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[1024, 1152]` | 1152 | [patches](lcs558k/n1000_seed42/vision/siglip2_sm16_512_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/066_siglip2_sm16_512.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/siglip2_sm16_512) |
374
- | [`dino_vitb16`](https://huggingface.co/facebook/dino-vitb16) | SSL | `[196, 768]` | 1536 | [patches](lcs558k/n1000_seed42/vision/dino_vitb16_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/002_dino_vitb16.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/dino_vitb16) |
375
- | [`dino_vitb8`](https://huggingface.co/facebook/dino-vitb8) | SSL | `[784, 768]` | 1536 | [patches](lcs558k/n1000_seed42/vision/dino_vitb8_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/003_dino_vitb8.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/dino_vitb8) |
376
- | [`dino_vits16`](https://huggingface.co/facebook/dino-vits16) | SSL | `[196, 384]` | 768 | [patches](lcs558k/n1000_seed42/vision/dino_vits16_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/004_dino_vits16.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/dino_vits16) |
377
- | [`dino_vits8`](https://huggingface.co/facebook/dino-vits8) | SSL | `[784, 384]` | 768 | [patches](lcs558k/n1000_seed42/vision/dino_vits8_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/005_dino_vits8.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/dino_vits8) |
378
- | [`dinov2_base`](https://huggingface.co/facebook/dinov2-base) | SSL | `[256, 768]` | 1536 | [patches](lcs558k/n1000_seed42/vision/dinov2_base_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/006_dinov2_base.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/dinov2_base) |
379
- | [`dinov2_giant`](https://huggingface.co/facebook/dinov2-giant) | SSL | `[256, 1536]` | 3072 | [patches](lcs558k/n1000_seed42/vision/dinov2_giant_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/007_dinov2_giant.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/dinov2_giant) |
380
- | [`dinov2_large`](https://huggingface.co/facebook/dinov2-large) | SSL | `[256, 1024]` | 2048 | [patches](lcs558k/n1000_seed42/vision/dinov2_large_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/008_dinov2_large.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/dinov2_large) |
381
- | [`dinov2_small`](https://huggingface.co/facebook/dinov2-small) | SSL | `[256, 384]` | 768 | [patches](lcs558k/n1000_seed42/vision/dinov2_small_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/009_dinov2_small.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/dinov2_small) |
382
- | [`dinov3_vitl16`](https://huggingface.co/facebook/dinov3-vitl16-pretrain-lvd1689m) | SSL | `[256, 1024]` | 2048 | [patches](lcs558k/n1000_seed42/vision/dinov3_vitl16_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/010_dinov3_vitl16.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/dinov3_vitl16) |
383
- | [`eupe_convnext_b`](https://huggingface.co/facebook/EUPE-ConvNeXt-B) | SSL | `[64, 1024]` | 1024 | [patches](lcs558k/n1000_seed42/vision/eupe_convnext_b_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/016_eupe_convnext_b.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/eupe_convnext_b) |
384
- | [`eupe_vit_b`](https://huggingface.co/facebook/EUPE-ViT-B) | SSL | `[256, 768]` | 1536 | [patches](lcs558k/n1000_seed42/vision/eupe_vit_b_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/017_eupe_vit_b.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/eupe_vit_b) |
385
- | [`eupe_vit_s`](https://huggingface.co/facebook/EUPE-ViT-S) | SSL | `[256, 384]` | 768 | [patches](lcs558k/n1000_seed42/vision/eupe_vit_s_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/018_eupe_vit_s.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/eupe_vit_s) |
386
- | [`eupe_vit_t`](https://huggingface.co/facebook/EUPE-ViT-T) | SSL | `[256, 192]` | 384 | [patches](lcs558k/n1000_seed42/vision/eupe_vit_t_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/019_eupe_vit_t.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/eupe_vit_t) |
387
- | [`ijepa_vith14`](https://github.com/facebookresearch/ijepa) | SSL | `[256, 1280]` | 1280 | [patches](lcs558k/n1000_seed42/vision/ijepa_vith14_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/020_ijepa_vith14.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/ijepa_vith14) |
388
- | [`pixio_vitb16`](https://huggingface.co/facebook/pixio-vitb16) | SSL | `[256, 768]` | 768 | [patches](lcs558k/n1000_seed42/vision/pixio_vitb16_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/048_pixio_vitb16.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/pixio_vitb16) |
389
- | [`pixio_vith16`](https://huggingface.co/facebook/pixio-vith16) | SSL | `[256, 1280]` | 1280 | [patches](lcs558k/n1000_seed42/vision/pixio_vith16_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/049_pixio_vith16.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/pixio_vith16) |
390
- | [`pixio_vitl16`](https://huggingface.co/facebook/pixio-vitl16) | SSL | `[256, 1024]` | 1024 | [patches](lcs558k/n1000_seed42/vision/pixio_vitl16_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/050_pixio_vitl16.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/pixio_vitl16) |
391
- | [`raev2_dinov3l_k7`](https://huggingface.co/nyu-visionx/RAEv2-models) | SSL | `[256, 1024]` | 1024 | [patches](lcs558k/n1000_seed42/vision/raev2_dinov3l_k7_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/051_raev2_dinov3l_k7.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/raev2_dinov3l_k7) |
392
- | [`webssl_dino1b_full2b_224`](https://huggingface.co/facebook/webssl-dino1b-full2b-224) | SSL | `[256, 1536]` | 1536 | [patches](lcs558k/n1000_seed42/vision/webssl_dino1b_full2b_224_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/067_webssl_dino1b_full2b_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/webssl_dino1b_full2b_224) |
393
- | [`webssl_mae1b_full2b_224`](https://huggingface.co/facebook/webssl-mae1b-full2b-224) | SSL | `[256, 1536]` | 1536 | [patches](lcs558k/n1000_seed42/vision/webssl_mae1b_full2b_224_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/068_webssl_mae1b_full2b_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/webssl_mae1b_full2b_224) |
394
- | [`webssl_mae300m_full2b_224`](https://huggingface.co/facebook/webssl-mae300m-full2b-224) | SSL | `[196, 1024]` | 1024 | [patches](lcs558k/n1000_seed42/vision/webssl_mae300m_full2b_224_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/069_webssl_mae300m_full2b_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/webssl_mae300m_full2b_224) |
395
- | [`webssl_mae3b_full2b_224`](https://huggingface.co/facebook/webssl-mae3b-full2b-224) | SSL | `[256, 3072]` | 3072 | [patches](lcs558k/n1000_seed42/vision/webssl_mae3b_full2b_224_patch_n1000_seed42.npy) · [pooled](imagenet1k/train200k/features/070_webssl_mae3b_full2b_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs558k/n10000_seed42plus43/vision/webssl_mae3b_full2b_224) |
396
 
397
  ## Dataset Creation and Provenance
398
 
 
21
  - numpy
22
  - arxiv:2610.05413
23
  configs:
24
+ - config_name: lcs-1k
25
  default: true
26
  data_files:
27
  - split: train
28
+ path: lcs-1k/samples/samples.jsonl
29
+ - config_name: lcs-10k
30
  data_files:
31
  - split: train
32
+ path: lcs-10k/samples/samples.jsonl
33
+ - config_name: imagenet-200k
34
  data_files:
35
  - split: train
36
+ path: imagenet-200k/samples/samples.jsonl
37
  ---
38
 
39
  <h1 align="center">A Strong Baseline for Evaluating Vision Encoders<br>in Multimodal Large Language Models</h1>
 
70
 
71
  | Method | Data needed | Available here / source |
72
  |---|---|---|
73
+ | RAVEL | Paired LCS-558K image patches and text features | `lcs-1k/` and `lcs-10k/` |
74
  | RSA, CCA, GW, MutualNN | Paired LCS-558K global image vectors and text features | Shared samples and text are included; prepare the required global image vectors separately |
75
+ | kNN | ImageNet training features, labels, and support/query split | `imagenet-200k/` |
76
  | Linear probing | ImageNet train and validation images | [ImageNet](https://www.image-net.org/download.php); the released 200k cache contains training images only |
77
  | Alignment probing | COCO Karpathy captions; DreamLIP CC3M for the cross-dataset variants | [COCO / Karpathy splits](https://cs.stanford.edu/people/karpathy/deepimagesent/) and [DreamLIP captions](https://huggingface.co/datasets/qidouxiong619/dreamlip_long_captions) |
78
  | AC Policy / Law of Vision Representation | LCS-558K, Stage-1 projectors, and SPair-71k | [LLaVA-Pretrain](https://huggingface.co/datasets/liuhaotian/LLaVA-Pretrain), [Model Zoo](https://huggingface.co/336labs/VisionEncoder-to-MLLM-ModelZoo), and [SPair-71k](https://cvlab.postech.ac.kr/research/SPair-71k/index.html) |
 
141
 
142
  ```text
143
  features/
144
+ lcs-1k/{vision,text,samples}/
145
+ lcs-10k/{vision,text,samples}/
146
+ imagenet-200k/
 
147
  features/
148
  metadata/
149
  samples/
 
155
  checksums.sha256
156
  ```
157
 
158
+ ### LCS-1k: 1,000 paired examples
159
 
160
  The source is the `blip_laion_cc_sbu_558k.json` alignment annotation set from [LLaVA-Pretrain](https://huggingface.co/datasets/liuhaotian/LLaVA-Pretrain). The cached subset was sampled with `numpy.default_rng(42).choice`, without replacement, retaining the **unsorted sampled order**. The ordered manifest identifies the exact selected records; the original full-source annotation hash/revision is not recorded in every historical audit.
161
 
 
181
 
182
  The full manifest additionally retains the source conversation records and sampling information. Raw images are available from the upstream dataset.
183
 
184
+ ### LCS-10k: 10,000 paired examples
185
 
186
  This larger cache contains **70 encoders × 10,000 images** as raw float16 patch tokens, stored in **two ordered 5,000-row blocks per encoder**. The first block uses the fixed seed-42 sample; the second uses seed 43 after excluding the first block by source annotation index, image ID, text ID, and image-file content hash. The original first block contains 11 repeated image-content rows; the disjoint-content check applies between blocks and within the new block. The two blocks have matching patch shapes and storage dtypes for each encoder.
187
 
 
192
 
193
  The combined sample table has **10,000 records**. `row_index` addresses the combined sample table; `block_index` and `block_row_index` address the stored feature array. `source_index` identifies the original LCS annotation record. The released `source_indices.npy` files are reconstructed from the canonical manifests. Historical `indices_n5000` / `indices_new5000` files contained only `0..4999` block row positions; those positions are not original annotation indices.
194
 
195
+ The paired text cache contains **Qwen2.5-1.5B-Instruct, Qwen3-1.7B, and SmolLM2-1.7B-Instruct**, each as two float32 arrays of `[5000, D]` (`D=1536, 2048, 2048`). These historical arrays use the **penultimate hidden state at the last non-padding token**. Their metadata retains the original extraction audit and manifest hashes. Exact historical model revisions are absent from these audits.
196
 
197
+ Use [feature_manifest.json](lcs-10k/feature_manifest.json), the block sample manifests, and [index_semantics.json](lcs-10k/samples/index_semantics.json) when loading the arrays. No visual pooling, PCA, whitening, or precision conversion was applied to these blocks.
198
 
199
+ ### ImageNet-200k: 200,000 training examples
200
 
201
  The subset contains **200 examples per class**, across **1,000 classes**, from the official ImageNet-1K training split. The export records a **support-sampling seed of 0**; the exact selected examples are given by `source_indices.npy`. All 70 arrays have shape **`[200000, D]`** and are stored as **float32**. Shared `source_indices.npy` is strictly increasing in the original train-index order; `labels.npy` contains integer class IDs `0–999`.
202
 
 
221
  repo_type="dataset",
222
  allow_patterns=[
223
  "encoders.json", "README.md", "LICENSES.md",
224
+ "lcs-1k/samples/**",
225
+ "lcs-1k/vision/clip_openai__l14*",
226
+ "lcs-1k/text/qwen3*",
227
  ],
228
  local_dir="features",
229
  ))
230
+ base = root / "lcs-1k"
231
  vision = np.load(base / "vision/clip_openai__l14_patch_n1000_seed42.npy",
232
  mmap_mode="r", allow_pickle=False)
233
  text = np.load(base / "text/qwen3_penultimate_mean_n1000_seed42.npy",
 
249
  repo_type="dataset",
250
  allow_patterns=[
251
  "encoders.json", "README.md", "LICENSES.md",
252
+ "lcs-10k/feature_manifest.json",
253
+ "lcs-10k/samples/**",
254
+ "lcs-10k/vision/clip_openai__l14/**",
255
+ "lcs-10k/text/qwen3/**",
256
  ],
257
  local_dir="features",
258
  ))
259
+ base = root / "lcs-10k"
260
  blocks = ["part0_seed42", "part1_seed43_disjoint"]
261
  vision_parts = [np.load(base / f"vision/clip_openai__l14/{part}.npy",
262
  mmap_mode="r", allow_pickle=False) for part in blocks]
 
283
  repo_type="dataset",
284
  allow_patterns=[
285
  "encoders.json", "README.md", "LICENSES.md",
286
+ "imagenet-200k/features/001_clip_openai__l14.npy",
287
+ "imagenet-200k/metadata/001_clip_openai__l14.json",
288
+ "imagenet-200k/labels.npy",
289
+ "imagenet-200k/source_indices.npy",
290
+ "imagenet-200k/samples/**",
291
+ "imagenet-200k/protocols/**",
292
  ],
293
  local_dir="features",
294
  ))
295
+ base = root / "imagenet-200k"
296
  features = np.load(base / "features/001_clip_openai__l14.npy",
297
  mmap_mode="r", allow_pickle=False)
298
  labels = np.load(base / "labels.npy", allow_pickle=False)
 
307
  from datasets import load_dataset
308
 
309
  lcs_samples = load_dataset("336labs/VisionEncoder-Features",
310
+ "lcs-1k", split="train")
311
  lcs10k_samples = load_dataset("336labs/VisionEncoder-Features",
312
+ "lcs-10k", split="train")
313
  imagenet_samples = load_dataset("336labs/VisionEncoder-Features",
314
+ "imagenet-200k", split="train")
315
  ```
316
 
317
  The three dataset configurations expose **sample metadata tables** in the Dataset Viewer and `load_dataset`. Download the large feature arrays separately and load them with NumPy. A complete download uses `snapshot_download` with `repo_type="dataset"` and no `allow_patterns`; selective downloads are usually sufficient.
 
322
 
323
  | Tokenizer ID | Family | LCS `[T, D]` | ImageNet `D` | Feature files |
324
  | --- | --- | --- | ---: | --- |
325
+ | [`toklip_l_384`](https://huggingface.co/TencentARC/TokLIP) | DISCRETE | `[576, 1152]` | 1152 | [patches](lcs-1k/vision/toklip_l_384_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/011_toklip_l_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/toklip_l_384) |
326
+ | [`toklip_s_256`](https://huggingface.co/TencentARC/TokLIP) | DISCRETE | `[256, 1152]` | 1152 | [patches](lcs-1k/vision/toklip_s_256_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/012_toklip_s_256.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/toklip_s_256) |
327
+ | [`uniar_bsq`](https://huggingface.co/ShareLab-SII/UniAR-SFT/tree/main/bsq_encoder) | DISCRETE | `[1024, 4608]` | 4096 | [patches](lcs-1k/vision/uniar_bsq_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/013_uniar_bsq.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/uniar_bsq) |
328
+ | [`unitok_attn`](https://huggingface.co/FoundationVision/unitok_tokenizer) | DISCRETE | `[256, 1024]` | 1024 | [patches](lcs-1k/vision/unitok_attn_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/014_unitok_attn.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/unitok_attn) |
329
+ | [`vilau_256`](https://huggingface.co/mit-han-lab/vila-u-7b-256) | DISCRETE | `[256, 1024]` | 1024 | [patches](lcs-1k/vision/vilau_256_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/015_vilau_256.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/vilau_256) |
330
+ | [`clip_openai__l14`](https://huggingface.co/openai/clip-vit-large-patch14) | LANG | `[256, 1024]` | 1024 | [patches](lcs-1k/vision/clip_openai__l14_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/001_clip_openai__l14.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/clip_openai__l14) |
331
+ | [`mc1_b16_224_2.5b`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[196, 768]` | 768 | [patches](lcs-1k/vision/mc1_b16_224_2.5b_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/021_mc1_b16_224_2.5b.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc1_b16_224_2.5b) |
332
+ | [`mc1_b16_224_400m`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[196, 768]` | 768 | [patches](lcs-1k/vision/mc1_b16_224_400m_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/022_mc1_b16_224_400m.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc1_b16_224_400m) |
333
+ | [`mc1_b32_224_2.5b`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[49, 768]` | 768 | [patches](lcs-1k/vision/mc1_b32_224_2.5b_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/023_mc1_b32_224_2.5b.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc1_b32_224_2.5b) |
334
+ | [`mc1_b32_224_400m`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[49, 768]` | 768 | [patches](lcs-1k/vision/mc1_b32_224_400m_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/024_mc1_b32_224_400m.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc1_b32_224_400m) |
335
+ | [`mc1_g14_224_2.5b`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[256, 1664]` | 1664 | [patches](lcs-1k/vision/mc1_g14_224_2.5b_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/025_mc1_g14_224_2.5b.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc1_g14_224_2.5b) |
336
+ | [`mc1_h14_224_2.5b`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[256, 1280]` | 1280 | [patches](lcs-1k/vision/mc1_h14_224_2.5b_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/026_mc1_h14_224_2.5b.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc1_h14_224_2.5b) |
337
+ | [`mc1_h14_224_v1.2`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[256, 1280]` | 1280 | [patches](lcs-1k/vision/mc1_h14_224_v1.2_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/027_mc1_h14_224_v1.2.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc1_h14_224_v1.2) |
338
+ | [`mc1_l14_224_2.5b`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[256, 1024]` | 1024 | [patches](lcs-1k/vision/mc1_l14_224_2.5b_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/028_mc1_l14_224_2.5b.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc1_l14_224_2.5b) |
339
+ | [`mc1_l14_224_400m`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[256, 1024]` | 1024 | [patches](lcs-1k/vision/mc1_l14_224_400m_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/029_mc1_l14_224_400m.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc1_l14_224_400m) |
340
+ | [`mc2_b16_224`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[196, 768]` | 768 | [patches](lcs-1k/vision/mc2_b16_224_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/030_mc2_b16_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc2_b16_224) |
341
+ | [`mc2_b16_384`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[576, 768]` | 768 | [patches](lcs-1k/vision/mc2_b16_384_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/031_mc2_b16_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc2_b16_384) |
342
+ | [`mc2_b32_224`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[49, 768]` | 768 | [patches](lcs-1k/vision/mc2_b32_224_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/032_mc2_b32_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc2_b32_224) |
343
+ | [`mc2_b32_224_mt5`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[49, 768]` | 768 | [patches](lcs-1k/vision/mc2_b32_224_mt5_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/033_mc2_b32_224_mt5.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc2_b32_224_mt5) |
344
+ | [`mc2_b32_384`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[144, 768]` | 768 | [patches](lcs-1k/vision/mc2_b32_384_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/034_mc2_b32_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc2_b32_384) |
345
+ | [`mc2_g14_224`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[256, 1664]` | 1664 | [patches](lcs-1k/vision/mc2_g14_224_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/035_mc2_g14_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc2_g14_224) |
346
+ | [`mc2_g14_378`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[729, 1664]` | 1664 | [patches](lcs-1k/vision/mc2_g14_378_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/036_mc2_g14_378.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc2_g14_378) |
347
+ | [`mc2_h14_378`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[729, 1280]` | 1280 | [patches](lcs-1k/vision/mc2_h14_378_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/037_mc2_h14_378.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc2_h14_378) |
348
+ | [`mc2_l14_224`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[256, 1024]` | 1024 | [patches](lcs-1k/vision/mc2_l14_224_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/038_mc2_l14_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc2_l14_224) |
349
+ | [`mc2_m16_224`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[196, 512]` | 512 | [patches](lcs-1k/vision/mc2_m16_224_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/039_mc2_m16_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc2_m16_224) |
350
+ | [`mc2_m16_224_mt5`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[196, 512]` | 512 | [patches](lcs-1k/vision/mc2_m16_224_mt5_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/040_mc2_m16_224_mt5.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc2_m16_224_mt5) |
351
+ | [`mc2_m16_384`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[576, 512]` | 512 | [patches](lcs-1k/vision/mc2_m16_384_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/041_mc2_m16_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc2_m16_384) |
352
+ | [`mc2_s16_224`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[196, 384]` | 384 | [patches](lcs-1k/vision/mc2_s16_224_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/042_mc2_s16_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc2_s16_224) |
353
+ | [`mc2_s16_224_mt5`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[196, 384]` | 384 | [patches](lcs-1k/vision/mc2_s16_224_mt5_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/043_mc2_s16_224_mt5.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc2_s16_224_mt5) |
354
+ | [`mc2_s16_384`](https://github.com/facebookresearch/MetaCLIP#pre-trained-models) | LANG | `[576, 384]` | 384 | [patches](lcs-1k/vision/mc2_s16_384_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/044_mc2_s16_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/mc2_s16_384) |
355
+ | [`pe_core_b16_224`](https://huggingface.co/facebook/PE-Core-B16-224) | LANG | `[196, 768]` | 768 | [patches](lcs-1k/vision/pe_core_b16_224_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/045_pe_core_b16_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/pe_core_b16_224) |
356
+ | [`pe_core_g14_448`](https://huggingface.co/facebook/PE-Core-G14-448) | LANG | `[1024, 1536]` | 1536 | [patches](lcs-1k/vision/pe_core_g14_448_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/046_pe_core_g14_448.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/pe_core_g14_448) |
357
+ | [`pe_lang_l14_448`](https://huggingface.co/facebook/PE-Lang-L14-448) | LANG | `[1024, 1024]` | 1024 | [patches](lcs-1k/vision/pe_lang_l14_448_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/047_pe_lang_l14_448.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/pe_lang_l14_448) |
358
+ | [`siglip2_b16_224`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[196, 768]` | 768 | [patches](lcs-1k/vision/siglip2_b16_224_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/052_siglip2_b16_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/siglip2_b16_224) |
359
+ | [`siglip2_b16_256`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[256, 768]` | 768 | [patches](lcs-1k/vision/siglip2_b16_256_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/053_siglip2_b16_256.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/siglip2_b16_256) |
360
+ | [`siglip2_b16_384`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[576, 768]` | 768 | [patches](lcs-1k/vision/siglip2_b16_384_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/054_siglip2_b16_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/siglip2_b16_384) |
361
+ | [`siglip2_b16_512`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[1024, 768]` | 768 | [patches](lcs-1k/vision/siglip2_b16_512_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/055_siglip2_b16_512.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/siglip2_b16_512) |
362
+ | [`siglip2_b32_256`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[64, 768]` | 768 | [patches](lcs-1k/vision/siglip2_b32_256_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/056_siglip2_b32_256.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/siglip2_b32_256) |
363
+ | [`siglip2_g16_256`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[256, 1536]` | 1536 | [patches](lcs-1k/vision/siglip2_g16_256_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/057_siglip2_g16_256.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/siglip2_g16_256) |
364
+ | [`siglip2_g16_384`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[576, 1536]` | 1536 | [patches](lcs-1k/vision/siglip2_g16_384_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/058_siglip2_g16_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/siglip2_g16_384) |
365
+ | [`siglip2_l16_256`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[256, 1024]` | 1024 | [patches](lcs-1k/vision/siglip2_l16_256_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/059_siglip2_l16_256.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/siglip2_l16_256) |
366
+ | [`siglip2_l16_384`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[576, 1024]` | 1024 | [patches](lcs-1k/vision/siglip2_l16_384_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/060_siglip2_l16_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/siglip2_l16_384) |
367
+ | [`siglip2_l16_512`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[1024, 1024]` | 1024 | [patches](lcs-1k/vision/siglip2_l16_512_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/061_siglip2_l16_512.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/siglip2_l16_512) |
368
+ | [`siglip2_sm14_224`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[256, 1152]` | 1152 | [patches](lcs-1k/vision/siglip2_sm14_224_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/062_siglip2_sm14_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/siglip2_sm14_224) |
369
+ | [`siglip2_sm14_384`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[729, 1152]` | 1152 | [patches](lcs-1k/vision/siglip2_sm14_384_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/063_siglip2_sm14_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/siglip2_sm14_384) |
370
+ | [`siglip2_sm16_256`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[256, 1152]` | 1152 | [patches](lcs-1k/vision/siglip2_sm16_256_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/064_siglip2_sm16_256.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/siglip2_sm16_256) |
371
+ | [`siglip2_sm16_384`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[576, 1152]` | 1152 | [patches](lcs-1k/vision/siglip2_sm16_384_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/065_siglip2_sm16_384.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/siglip2_sm16_384) |
372
+ | [`siglip2_sm16_512`](https://github.com/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/README_siglip2.md) | LANG | `[1024, 1152]` | 1152 | [patches](lcs-1k/vision/siglip2_sm16_512_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/066_siglip2_sm16_512.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/siglip2_sm16_512) |
373
+ | [`dino_vitb16`](https://huggingface.co/facebook/dino-vitb16) | SSL | `[196, 768]` | 1536 | [patches](lcs-1k/vision/dino_vitb16_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/002_dino_vitb16.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/dino_vitb16) |
374
+ | [`dino_vitb8`](https://huggingface.co/facebook/dino-vitb8) | SSL | `[784, 768]` | 1536 | [patches](lcs-1k/vision/dino_vitb8_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/003_dino_vitb8.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/dino_vitb8) |
375
+ | [`dino_vits16`](https://huggingface.co/facebook/dino-vits16) | SSL | `[196, 384]` | 768 | [patches](lcs-1k/vision/dino_vits16_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/004_dino_vits16.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/dino_vits16) |
376
+ | [`dino_vits8`](https://huggingface.co/facebook/dino-vits8) | SSL | `[784, 384]` | 768 | [patches](lcs-1k/vision/dino_vits8_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/005_dino_vits8.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/dino_vits8) |
377
+ | [`dinov2_base`](https://huggingface.co/facebook/dinov2-base) | SSL | `[256, 768]` | 1536 | [patches](lcs-1k/vision/dinov2_base_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/006_dinov2_base.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/dinov2_base) |
378
+ | [`dinov2_giant`](https://huggingface.co/facebook/dinov2-giant) | SSL | `[256, 1536]` | 3072 | [patches](lcs-1k/vision/dinov2_giant_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/007_dinov2_giant.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/dinov2_giant) |
379
+ | [`dinov2_large`](https://huggingface.co/facebook/dinov2-large) | SSL | `[256, 1024]` | 2048 | [patches](lcs-1k/vision/dinov2_large_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/008_dinov2_large.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/dinov2_large) |
380
+ | [`dinov2_small`](https://huggingface.co/facebook/dinov2-small) | SSL | `[256, 384]` | 768 | [patches](lcs-1k/vision/dinov2_small_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/009_dinov2_small.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/dinov2_small) |
381
+ | [`dinov3_vitl16`](https://huggingface.co/facebook/dinov3-vitl16-pretrain-lvd1689m) | SSL | `[256, 1024]` | 2048 | [patches](lcs-1k/vision/dinov3_vitl16_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/010_dinov3_vitl16.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/dinov3_vitl16) |
382
+ | [`eupe_convnext_b`](https://huggingface.co/facebook/EUPE-ConvNeXt-B) | SSL | `[64, 1024]` | 1024 | [patches](lcs-1k/vision/eupe_convnext_b_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/016_eupe_convnext_b.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/eupe_convnext_b) |
383
+ | [`eupe_vit_b`](https://huggingface.co/facebook/EUPE-ViT-B) | SSL | `[256, 768]` | 1536 | [patches](lcs-1k/vision/eupe_vit_b_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/017_eupe_vit_b.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/eupe_vit_b) |
384
+ | [`eupe_vit_s`](https://huggingface.co/facebook/EUPE-ViT-S) | SSL | `[256, 384]` | 768 | [patches](lcs-1k/vision/eupe_vit_s_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/018_eupe_vit_s.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/eupe_vit_s) |
385
+ | [`eupe_vit_t`](https://huggingface.co/facebook/EUPE-ViT-T) | SSL | `[256, 192]` | 384 | [patches](lcs-1k/vision/eupe_vit_t_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/019_eupe_vit_t.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/eupe_vit_t) |
386
+ | [`ijepa_vith14`](https://github.com/facebookresearch/ijepa) | SSL | `[256, 1280]` | 1280 | [patches](lcs-1k/vision/ijepa_vith14_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/020_ijepa_vith14.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/ijepa_vith14) |
387
+ | [`pixio_vitb16`](https://huggingface.co/facebook/pixio-vitb16) | SSL | `[256, 768]` | 768 | [patches](lcs-1k/vision/pixio_vitb16_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/048_pixio_vitb16.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/pixio_vitb16) |
388
+ | [`pixio_vith16`](https://huggingface.co/facebook/pixio-vith16) | SSL | `[256, 1280]` | 1280 | [patches](lcs-1k/vision/pixio_vith16_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/049_pixio_vith16.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/pixio_vith16) |
389
+ | [`pixio_vitl16`](https://huggingface.co/facebook/pixio-vitl16) | SSL | `[256, 1024]` | 1024 | [patches](lcs-1k/vision/pixio_vitl16_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/050_pixio_vitl16.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/pixio_vitl16) |
390
+ | [`raev2_dinov3l_k7`](https://huggingface.co/nyu-visionx/RAEv2-models) | SSL | `[256, 1024]` | 1024 | [patches](lcs-1k/vision/raev2_dinov3l_k7_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/051_raev2_dinov3l_k7.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/raev2_dinov3l_k7) |
391
+ | [`webssl_dino1b_full2b_224`](https://huggingface.co/facebook/webssl-dino1b-full2b-224) | SSL | `[256, 1536]` | 1536 | [patches](lcs-1k/vision/webssl_dino1b_full2b_224_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/067_webssl_dino1b_full2b_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/webssl_dino1b_full2b_224) |
392
+ | [`webssl_mae1b_full2b_224`](https://huggingface.co/facebook/webssl-mae1b-full2b-224) | SSL | `[256, 1536]` | 1536 | [patches](lcs-1k/vision/webssl_mae1b_full2b_224_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/068_webssl_mae1b_full2b_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/webssl_mae1b_full2b_224) |
393
+ | [`webssl_mae300m_full2b_224`](https://huggingface.co/facebook/webssl-mae300m-full2b-224) | SSL | `[196, 1024]` | 1024 | [patches](lcs-1k/vision/webssl_mae300m_full2b_224_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/069_webssl_mae300m_full2b_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/webssl_mae300m_full2b_224) |
394
+ | [`webssl_mae3b_full2b_224`](https://huggingface.co/facebook/webssl-mae3b-full2b-224) | SSL | `[256, 3072]` | 3072 | [patches](lcs-1k/vision/webssl_mae3b_full2b_224_patch_n1000_seed42.npy) · [pooled](imagenet-200k/features/070_webssl_mae3b_full2b_224.npy) · [10k blocks](https://huggingface.co/datasets/336labs/VisionEncoder-Features/tree/main/lcs-10k/vision/webssl_mae3b_full2b_224) |
395
 
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