Upload distill step 4000 checkpoint

config.json

@@ -0,0 +1,133 @@
+{
+  "model_type": "prefixvlm_distill",
+  "architectures": [
+    "DistillPrefixVLM"
+  ],
+  "torch_dtype": "bfloat16",
+  "vlm_cfg": {
+    "vit_hidden_dim": 768,
+    "vit_inter_dim": 3072,
+    "vit_patch_size": 16,
+    "vit_img_size": 512,
+    "vit_n_heads": 12,
+    "vit_dropout": 0.0,
+    "vit_n_blocks": 12,
+    "vit_ln_eps": 1e-06,
+    "vit_cls_flag": false,
+    "vit_model_type": "google/siglip2-base-patch16-512",
+    "lm_hidden_dim": 960,
+    "lm_inter_dim": 2560,
+    "lm_rms_eps": 1e-05,
+    "lm_re_base": 100000,
+    "lm_max_position_embeddings": 8192,
+    "lm_base_vocab_size": 49152,
+    "extra_token_amount": 66,
+    "lm_vocab_size": 49218,
+    "lm_n_heads": 15,
+    "lm_n_kv_heads": 5,
+    "lm_dropout": 0.0,
+    "lm_n_blocks": 32,
+    "lm_attn_scaling": 1.0,
+    "lm_pad_aware_rope": false,
+    "lm_max_length": 1024,
+    "lm_use_tokens": false,
+    "lm_tie_weights": true,
+    "lm_model_type": "HuggingFaceTB/SmolLM2-360M-Instruct",
+    "lm_tokenizer": "HuggingFaceTB/SmolLM2-360M-Instruct",
+    "lm_chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\\n' + message['content'] + '<|im_end|>' + '\\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\\n' }}{% endif %}",
+    "mp_pixel_shuffle_factor": 4,
+    "mp_image_token_length": 64,
+    "max_img_size": 2048,
+    "resize_to_max_side_len": false,
+    "vlm_extra_tokens": {
+      "image_token": "<|image|>",
+      "global_image_token": "<|global_image|>",
+      "r1c1": "<row_1_col_1>",
+      "r1c2": "<row_1_col_2>",
+      "r1c3": "<row_1_col_3>",
+      "r1c4": "<row_1_col_4>",
+      "r1c5": "<row_1_col_5>",
+      "r1c6": "<row_1_col_6>",
+      "r1c7": "<row_1_col_7>",
+      "r1c8": "<row_1_col_8>",
+      "r2c1": "<row_2_col_1>",
+      "r2c2": "<row_2_col_2>",
+      "r2c3": "<row_2_col_3>",
+      "r2c4": "<row_2_col_4>",
+      "r2c5": "<row_2_col_5>",
+      "r2c6": "<row_2_col_6>",
+      "r2c7": "<row_2_col_7>",
+      "r2c8": "<row_2_col_8>",
+      "r3c1": "<row_3_col_1>",
+      "r3c2": "<row_3_col_2>",
+      "r3c3": "<row_3_col_3>",
+      "r3c4": "<row_3_col_4>",
+      "r3c5": "<row_3_col_5>",
+      "r3c6": "<row_3_col_6>",
+      "r3c7": "<row_3_col_7>",
+      "r3c8": "<row_3_col_8>",
+      "r4c1": "<row_4_col_1>",
+      "r4c2": "<row_4_col_2>",
+      "r4c3": "<row_4_col_3>",
+      "r4c4": "<row_4_col_4>",
+      "r4c5": "<row_4_col_5>",
+      "r4c6": "<row_4_col_6>",
+      "r4c7": "<row_4_col_7>",
+      "r4c8": "<row_4_col_8>",
+      "r5c1": "<row_5_col_1>",
+      "r5c2": "<row_5_col_2>",
+      "r5c3": "<row_5_col_3>",
+      "r5c4": "<row_5_col_4>",
+      "r5c5": "<row_5_col_5>",
+      "r5c6": "<row_5_col_6>",
+      "r5c7": "<row_5_col_7>",
+      "r5c8": "<row_5_col_8>",
+      "r6c1": "<row_6_col_1>",
+      "r6c2": "<row_6_col_2>",
+      "r6c3": "<row_6_col_3>",
+      "r6c4": "<row_6_col_4>",
+      "r6c5": "<row_6_col_5>",
+      "r6c6": "<row_6_col_6>",
+      "r6c7": "<row_6_col_7>",
+      "r6c8": "<row_6_col_8>",
+      "r7c1": "<row_7_col_1>",
+      "r7c2": "<row_7_col_2>",
+      "r7c3": "<row_7_col_3>",
+      "r7c4": "<row_7_col_4>",
+      "r7c5": "<row_7_col_5>",
+      "r7c6": "<row_7_col_6>",
+      "r7c7": "<row_7_col_7>",
+      "r7c8": "<row_7_col_8>",
+      "r8c1": "<row_8_col_1>",
+      "r8c2": "<row_8_col_2>",
+      "r8c3": "<row_8_col_3>",
+      "r8c4": "<row_8_col_4>",
+      "r8c5": "<row_8_col_5>",
+      "r8c6": "<row_8_col_6>",
+      "r8c7": "<row_8_col_7>",
+      "r8c8": "<row_8_col_8>"
+    },
+    "vlm_load_backbone_weights": true,
+    "vlm_checkpoint_path": "lusxvr/nanoVLM-460M-8k",
+    "lr_word_embd": 0.0,
+    "use_kv_bridge": false,
+    "transport_mode": "full",
+    "kv_bridge_mode": "affine",
+    "kv_bridge_affine_stack_depth": 2,
+    "kv_bridge_adapter_expansion_factor": 1.0,
+    "kv_bridge_use_gate": false,
+    "distill_temperature": 2.0,
+    "distill_alpha": 0.5,
+    "distill_skip_sources": [
+      "chart2text",
+      "chartqa",
+      "docvqa",
+      "infographic_vqa",
+      "ocrvqa",
+      "textcaps",
+      "textvqa",
+      "vistext",
+      "visualmrc"
+    ]
+  }
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a69ba4ab9ea03aa1402c220b85fdafc55f3381296c062c44bb9a0cd91da492e1
+size 1644081192

train_config.json

@@ -0,0 +1,63 @@
+{
+  "lr_mp": 0.0001,
+  "lr_vision_backbone": 0.0,
+  "lr_language_backbone": 0.0001,
+  "lr_right_tower": 0.0,
+  "lr_word_embd": 0.0,
+  "lr_kv_bridge": 0.0,
+  "lr_activation_bridge": 0.0,
+  "batch_size": 16,
+  "gradient_accumulation_steps": 8,
+  "max_grad_norm": 1.0,
+  "max_training_steps": 5000,
+  "stop_after_step": 5000,
+  "warmup_ratio": 0.03,
+  "stats_log_interval": 100,
+  "precision": "bf16",
+  "compile": false,
+  "do_eval": false,
+  "eval_interval": 1000,
+  "max_val_batches": 64,
+  "max_images_per_example": 1,
+  "max_sample_length": 1024,
+  "train_dataset_path": "patrickamadeus/the_cauldron",
+  "train_dataset_name": [
+    "all"
+  ],
+  "train_split": "train",
+  "val_split": "validation",
+  "stream_dataset": true,
+  "enable_source_filter": true,
+  "allowed_dataset_sources": [
+    "aokvqa",
+    "chart2text",
+    "chartqa",
+    "docvqa",
+    "figureqa",
+    "iconqa",
+    "infographic_vqa",
+    "ocrvqa",
+    "robut_sqa",
+    "scienceqa",
+    "textcaps",
+    "textvqa",
+    "vistext",
+    "visual7w",
+    "visualmrc",
+    "vqav2",
+    "vsr"
+  ],
+  "relevance_min_rating": 1,
+  "image_correspondence_min_rating": 1,
+  "visual_dependency_min_rating": 1,
+  "formatting_min_rating": 1,
+  "wandb_entity": "HuggingFace",
+  "log_wandb": false,
+  "push_checkpoints_to_hub": true,
+  "save_training_state_to_hub": true,
+  "checkpoint_repo_pattern": "patrickamadeus/adapt-distill-460m-{i}",
+  "hf_private": false,
+  "push_final_model_to_hub": true,
+  "resume_from_vlm_checkpoint": true,
+  "resume_checkpoint_path": null
+}

training_state.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bbab6ccc80fa7e3c95455ef90b83d16912527acd32bca07970133735d149bf63
+size 1495037248