Publish completed Window8 text dual-lane epoch 1 (step 3852)

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+epoch-1/tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,46 @@
+---
+base_model: Qwen/Qwen3.5-4B
+tags:
+- vision-language-navigation
+- simplememvln
+- dual-lane
+- r2r
+- rxr
+---
+# SimpleMemVLN Window8 Text Dual-Lane — from base
+
+Epoch 1 of a two-epoch joint R2R + English-guide RxR 15-degree training run.
+This is a mid-schedule checkpoint, not a separately scheduled one-epoch model.
+No navigation evaluation result is claimed for these weights.
+
+## Training recipe
+Original Qwen3.5-4B base revision `851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a`.
+Training code: `a7e442cbd3c43cf3ec238eaa527e9c67f5ce2408` on
+https://github.com/anhdao69/SimpleMemVLN/tree/streaming_text_dual .
+30,815 episodes; 3,128,624 action steps per dataset pass before distributed tail padding.
+Epoch 1 is update 3,852 of 7,704; 232 warmup updates; seed 429.
+Four H100 GPUs, one complete episode per rank per microstep, gradient accumulation 2,
+effective global batch 8. BF16, ZeRO-2, frozen vision/merger, trainable text backbone
+and output head; native LR 5e-6, lane LR 1e-4. Full-episode BPTT with activation
+checkpointing and long-episode CPU activation offload.
+
+Text output uses canonical action-text history and supervised assistant EOS.
+Window8 native attention retains instruction prefix plus eight observation/action
+groups. Native recurrent state persists. Four step lanes at layers 16/20/24/28
+add 21,054,000 parameters, write only on each completed group's final separator,
+and read at token rate. Attention window batching is 16.
+
+## Loading
+This is a custom SimpleMemVLN wrapper state dictionary, not a directly interchangeable
+Transformers AutoModel checkpoint. Download this repository, then use the recorded
+SimpleMemVLN source/environment and the pinned original Qwen base snapshot:
+
+```python
+from qwen_vl.train.vln_runtime import load_checkpoint
+model, serializer = load_checkpoint('/path/to/download/epoch-1', '/path/to/Qwen3.5-4B-base')
+```
+
+`navigation.json` contains the saved model/serializer/memory contract.
+`SHA256SUMS.json` records artifact checksums. Optimizer states, RNG recovery files,
+training images and credentials are excluded. The full recovery checkpoint remains
+on the training server. Training continued into epoch 2 during publication.

SHA256SUMS.json

@@ -0,0 +1,12 @@
+{
+  "README.md": "ff21c42758f4e83ce3f86e0069c511779ea53d507d73cbe0c0e4a2e500b71ab6",
+  "epoch-1/chat_template.jinja": "a4aee8afcf2e0711942cf848899be66016f8d14a889ff9ede07bca099c28f715",
+  "epoch-1/config.json": "2451a8786918f4c348acb32c438d9a127098c022334ae1a7713ce5be588a7df1",
+  "epoch-1/navigation.json": "a57a137bc41a595ce07fbb8132e3ac317689f1c9b023e4295dbb098dcc8e2d6f",
+  "epoch-1/processor_config.json": "d89ef49ce9cd37fbf510158e13c1ef063d9286411c1ec9049932dbe0487143b1",
+  "epoch-1/pytorch_model.bin": "cd7b36d160c19ebbb8fbdc92e3ce451f08a2a566a9a3507b382dd828b06ea6d4",
+  "epoch-1/tokenizer.json": "06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523",
+  "epoch-1/tokenizer_config.json": "7488550a894dcf741616126e322ea31d66cf9457b59ec5825f4c7efdced421f8",
+  "epoch-1/trainer_state.json": "ea4eca79cdf8b3c16ebf200d6733d2fdfc9b72f73981bb16be99d681ca2f3979",
+  "resolved_config.json": "b1d0ee961394829deba162a68036ab5a667d8cc7ab236f9987e9cae9637c8c53"
+}

epoch-1/chat_template.jinja

@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+    {%- if content is string %}
+        {{- content }}
+    {%- elif content is iterable and content is not mapping %}
+        {%- for item in content %}
+            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain images.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Picture ' ~ image_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+            {%- elif 'video' in item or item.type == 'video' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain videos.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Video ' ~ video_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+            {%- elif 'text' in item %}
+                {{- item.text }}
+            {%- else %}
+                {{- raise_exception('Unexpected item type in content.') }}
+            {%- endif %}
+        {%- endfor %}
+    {%- elif content is none or content is undefined %}
+        {{- '' }}
+    {%- else %}
+        {{- raise_exception('Unexpected content type.') }}
+    {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+    {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+    {{- '<|im_start|>system\n' }}
+    {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>" }}
+    {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {%- if content %}
+            {{- '\n\n' + content }}
+        {%- endif %}
+    {%- endif %}
+    {{- '<|im_end|>\n' }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" %}
+        {%- set content = render_content(message.content, false)|trim %}
+        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
+            {%- set ns.multi_step_tool = false %}
+            {%- set ns.last_query_index = index %}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+    {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+    {%- set content = render_content(message.content, true)|trim %}
+    {%- if message.role == "system" %}
+        {%- if not loop.first %}
+            {{- raise_exception('System message must be at the beginning.') }}
+        {%- endif %}
+    {%- elif message.role == "user" %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- set reasoning_content = reasoning_content|trim %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if tool_call.function is defined %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {%- if loop.first %}
+                    {%- if content|trim %}
+                        {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- else %}
+                        {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- endif %}
+                {%- else %}
+                    {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                {%- endif %}
+                {%- if tool_call.arguments is defined %}
+                    {%- for args_name, args_value in tool_call.arguments|items %}
+                        {{- '<parameter=' + args_name + '>\n' }}
+                        {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+                        {{- args_value }}
+                        {{- '\n</parameter>\n' }}
+                    {%- endfor %}
+                {%- endif %}
+                {{- '</function>\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.previtem and loop.previtem.role != "tool" %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if not loop.last and loop.nextitem.role != "tool" %}
+            {{- '<|im_end|>\n' }}
+        {%- elif loop.last %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- else %}
+        {{- raise_exception('Unexpected message role.') }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- else %}
+        {{- '<think>\n' }}
+    {%- endif %}
+{%- endif %}

epoch-1/config.json

@@ -0,0 +1,112 @@
+{
+  "architectures": [
+    "Qwen3_5ForConditionalGeneration"
+  ],
+  "dtype": "bfloat16",
+  "eos_token_id": 248046,
+  "image_token_id": 248056,
+  "model_type": "qwen3_5",
+  "pad_token_id": 248044,
+  "text_config": {
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attn_output_gate": true,
+    "bos_token_id": null,
+    "dtype": "bfloat16",
+    "eos_token_id": 248044,
+    "full_attention_interval": 4,
+    "head_dim": 256,
+    "hidden_act": "silu",
+    "hidden_size": 2560,
+    "initializer_range": 0.02,
+    "intermediate_size": 9216,
+    "layer_types": [
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention"
+    ],
+    "linear_conv_kernel_dim": 4,
+    "linear_key_head_dim": 128,
+    "linear_num_key_heads": 16,
+    "linear_num_value_heads": 32,
+    "linear_value_head_dim": 128,
+    "mamba_ssm_dtype": "float32",
+    "max_position_embeddings": 262144,
+    "mlp_only_layers": [],
+    "model_type": "qwen3_5_text",
+    "mtp_num_hidden_layers": 1,
+    "mtp_use_dedicated_embeddings": false,
+    "num_attention_heads": 16,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 4,
+    "pad_token_id": null,
+    "partial_rotary_factor": 0.25,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+      "mrope_interleaved": true,
+      "mrope_section": [
+        11,
+        11,
+        10
+      ],
+      "partial_rotary_factor": 0.25,
+      "rope_theta": 10000000,
+      "rope_type": "default"
+    },
+    "tie_word_embeddings": true,
+    "use_cache": true,
+    "vocab_size": 248320
+  },
+  "tie_word_embeddings": true,
+  "transformers_version": "5.11.0",
+  "use_cache": false,
+  "video_token_id": 248057,
+  "vision_config": {
+    "deepstack_visual_indexes": [],
+    "depth": 24,
+    "dtype": "bfloat16",
+    "hidden_act": "gelu_pytorch_tanh",
+    "hidden_size": 1024,
+    "in_channels": 3,
+    "initializer_range": 0.02,
+    "intermediate_size": 4096,
+    "model_type": "qwen3_5_vision",
+    "num_heads": 16,
+    "num_position_embeddings": 2304,
+    "out_hidden_size": 2560,
+    "patch_size": 16,
+    "spatial_merge_size": 2,
+    "temporal_patch_size": 2
+  },
+  "vision_end_token_id": 248054,
+  "vision_start_token_id": 248053
+}

epoch-1/navigation.json

@@ -0,0 +1,149 @@
+{
+  "serializer": "vln_append_only_chat_v1",
+  "template_sha256": "fb79cf3922f74475e9a5faaac8c08d2f79a3ca7bef5dbf434f3f7726119229b8",
+  "actions": [
+    "MOVE_FORWARD",
+    "TURN_LEFT",
+    "TURN_RIGHT",
+    "STOP"
+  ],
+  "habitat_ids": [
+    1,
+    2,
+    3,
+    0
+  ],
+  "action_token_ids": [
+    [
+      28164,
+      61846,
+      248046
+    ],
+    [
+      15834,
+      18440,
+      248046
+    ],
+    [
+      15834,
+      20549,
+      248046
+    ],
+    [
+      48964,
+      248046
+    ]
+  ],
+  "eos": 248046,
+  "separator_ids": [
+    198
+  ],
+  "rgb_shape": [
+    480,
+    640,
+    3
+  ],
+  "position_convention": "logical_text_plus_native_mrope_v1",
+  "rotary_precision": "fp32_preserved_across_module_casts_v1",
+  "config": {
+    "generation": {
+      "fixed_separator": "\n",
+      "max_response_tokens_including_eos": 16
+    },
+    "memory": {
+      "evict_before_new_step": true,
+      "kv_guard_tokens": 5120,
+      "kv_window_steps_including_current": 8,
+      "mode": "window8"
+    },
+    "model": {
+      "backbone": "Qwen/Qwen3.5-4B",
+      "output_mode": "qwen_text",
+      "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
+      "step_lane": {
+        "enabled": true,
+        "version": "parallel_step_lane_v1",
+        "layers": [
+          16,
+          20,
+          24,
+          28
+        ],
+        "init_seed": 429,
+        "clock_mode": "step_end"
+      }
+    },
+    "observations": {
+      "append_action_tokens": true,
+      "expected_rgb_shape": [
+        480,
+        640,
+        3
+      ],
+      "expected_visual_tokens": 300,
+      "max_prefix_tokens": 2048,
+      "max_step_group_tokens": 384,
+      "serializer_version": "vln_append_only_chat_v1"
+    },
+    "runtime": {
+      "action_diagnostics": false,
+      "max_logical_context_tokens": 262144,
+      "profile_components": false,
+      "window_attention_batch_steps": 16,
+      "text_attention": "simplememvln_step_attention",
+      "vision_attention": "flash_attention_2",
+      "vision_microbatch_images": 4
+    },
+    "training": {
+      "activation_offload_min_tokens": 65536,
+      "backbone_lr": 5e-06,
+      "checkpoint_decoder_layers": true,
+      "class_weighting": "none",
+      "classifier_lr": 5e-06,
+      "dataloader_num_workers": 4,
+      "effective_number_beta": 0.9999,
+      "epochs": 2,
+      "expected_total_steps": 7704,
+      "expected_warmup_steps": 232,
+      "gradient_accumulation_steps": 2,
+      "length_bucket_pool_episodes": 64,
+      "microbatch_episodes_per_rank": 1,
+      "model_max_length": 262144,
+      "nominal_episodes_per_update": 8,
+      "save_strategy": "epoch",
+      "save_total_limit": null,
+      "seed": 429,
+      "supervise_assistant_terminator": true,
+      "tail_policy": "accelerate_repeat",
+      "use_cache": false,
+      "warmup_steps": 232,
+      "weight_decay": 0.01,
+      "step_lane_lr": 0.0001
+    }
+  },
+  "step_lane": {
+    "version": "parallel_step_lane_v1",
+    "layers": [
+      16,
+      20,
+      24,
+      28
+    ],
+    "num_key_heads": 2,
+    "num_value_heads": 4,
+    "key_dim": 128,
+    "value_dim": 128,
+    "clock_mode": "step_end",
+    "prefix_mode": "read_only_zero",
+    "half_lives_steps": [
+      8.0,
+      24.0,
+      64.0,
+      192.0
+    ],
+    "beta_init": 0.1,
+    "token_rate_reference": null,
+    "projection_init_std": 0.02,
+    "eps": 1e-06
+  }
+}

epoch-1/processor_config.json

@@ -0,0 +1,60 @@
+{
+  "image_processor": {
+    "do_convert_rgb": true,
+    "do_normalize": true,
+    "do_rescale": true,
+    "do_resize": true,
+    "image_mean": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "image_processor_type": "Qwen2VLImageProcessor",
+    "image_std": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "merge_size": 2,
+    "patch_size": 16,
+    "resample": 3,
+    "rescale_factor": 0.00392156862745098,
+    "size": {
+      "longest_edge": 16777216,
+      "shortest_edge": 65536
+    },
+    "temporal_patch_size": 2
+  },
+  "processor_class": "Qwen3VLProcessor",
+  "video_processor": {
+    "do_convert_rgb": true,
+    "do_normalize": true,
+    "do_rescale": true,
+    "do_resize": true,
+    "do_sample_frames": true,
+    "fps": 2,
+    "image_mean": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "image_std": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "max_frames": 768,
+    "merge_size": 2,
+    "min_frames": 4,
+    "patch_size": 16,
+    "resample": 3,
+    "rescale_factor": 0.00392156862745098,
+    "return_metadata": false,
+    "size": {
+      "longest_edge": 25165824,
+      "shortest_edge": 4096
+    },
+    "temporal_patch_size": 2,
+    "video_processor_type": "Qwen3VLVideoProcessor"
+  }
+}

epoch-1/pytorch_model.bin

@@ -0,0 +1,3 @@
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+oid sha256:cd7b36d160c19ebbb8fbdc92e3ce451f08a2a566a9a3507b382dd828b06ea6d4
+size 10392300939

epoch-1/tokenizer.json

@@ -0,0 +1,3 @@
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+oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
+size 19989325

epoch-1/tokenizer_config.json

@@ -0,0 +1,33 @@
+{
+  "add_prefix_space": false,
+  "audio_bos_token": "<|audio_start|>",
+  "audio_eos_token": "<|audio_end|>",
+  "audio_token": "<|audio_pad|>",
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "image_token": "<|image_pad|>",
+  "is_local": true,
+  "local_files_only": true,
+  "model_max_length": 262144,
+  "model_specific_special_tokens": {
+    "audio_bos_token": "<|audio_start|>",
+    "audio_eos_token": "<|audio_end|>",
+    "audio_token": "<|audio_pad|>",
+    "image_token": "<|image_pad|>",
+    "video_token": "<|video_pad|>",
+    "vision_bos_token": "<|vision_start|>",
+    "vision_eos_token": "<|vision_end|>"
+  },
+  "pad_token": "<|endoftext|>",
+  "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+  "processor_class": "Qwen3VLProcessor",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null,
+  "video_token": "<|video_pad|>",
+  "vision_bos_token": "<|vision_start|>",
+  "vision_eos_token": "<|vision_end|>"
+}

resolved_config.json

@@ -0,0 +1,76 @@
+{
+  "generation": {
+    "fixed_separator": "\n",
+    "max_response_tokens_including_eos": 16
+  },
+  "memory": {
+    "evict_before_new_step": true,
+    "kv_guard_tokens": 5120,
+    "kv_window_steps_including_current": 8,
+    "mode": "window8"
+  },
+  "model": {
+    "backbone": "Qwen/Qwen3.5-4B",
+    "output_mode": "qwen_text",
+    "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
+    "step_lane": {
+      "enabled": true,
+      "version": "parallel_step_lane_v1",
+      "layers": [
+        16,
+        20,
+        24,
+        28
+      ],
+      "init_seed": 429,
+      "clock_mode": "step_end"
+    }
+  },
+  "observations": {
+    "append_action_tokens": true,
+    "expected_rgb_shape": [
+      480,
+      640,
+      3
+    ],
+    "expected_visual_tokens": 300,
+    "max_prefix_tokens": 2048,
+    "max_step_group_tokens": 384,
+    "serializer_version": "vln_append_only_chat_v1"
+  },
+  "runtime": {
+    "action_diagnostics": false,
+    "max_logical_context_tokens": 262144,
+    "profile_components": false,
+    "window_attention_batch_steps": 16,
+    "text_attention": "simplememvln_step_attention",
+    "vision_attention": "flash_attention_2",
+    "vision_microbatch_images": 4
+  },
+  "training": {
+    "activation_offload_min_tokens": 65536,
+    "backbone_lr": 5e-06,
+    "checkpoint_decoder_layers": true,
+    "class_weighting": "none",
+    "classifier_lr": 5e-06,
+    "dataloader_num_workers": 4,
+    "effective_number_beta": 0.9999,
+    "epochs": 2,
+    "expected_total_steps": 7704,
+    "expected_warmup_steps": 232,
+    "gradient_accumulation_steps": 2,
+    "length_bucket_pool_episodes": 64,
+    "microbatch_episodes_per_rank": 1,
+    "model_max_length": 262144,
+    "nominal_episodes_per_update": 8,
+    "save_strategy": "epoch",
+    "save_total_limit": null,
+    "seed": 429,
+    "supervise_assistant_terminator": true,
+    "tail_policy": "accelerate_repeat",
+    "use_cache": false,
+    "warmup_steps": 232,
+    "weight_decay": 0.01,
+    "step_lane_lr": 0.0001
+  }
+}