update to fp32 weights
Browse files- config.json +1 -1
- model-00001-of-00004.safetensors → model-00001-of-00007.safetensors +2 -2
- model-00002-of-00004.safetensors → model-00002-of-00007.safetensors +2 -2
- model-00003-of-00004.safetensors → model-00003-of-00007.safetensors +2 -2
- model-00004-of-00004.safetensors → model-00004-of-00007.safetensors +2 -2
- model-00005-of-00007.safetensors +3 -0
- model-00006-of-00007.safetensors +3 -0
- model-00007-of-00007.safetensors +3 -0
- model.safetensors.index.json +0 -0
- model.yaml +257 -0
config.json
CHANGED
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@@ -186,7 +186,7 @@
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}
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},
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"tie_word_embeddings": false,
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-
"torch_dtype": "
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"transformers_version": "4.52.3",
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"use_cache": true,
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"vit_config": {
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}
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},
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"tie_word_embeddings": false,
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+
"torch_dtype": "float32",
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"transformers_version": "4.52.3",
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"use_cache": true,
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"vit_config": {
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model-00001-of-00004.safetensors → model-00001-of-00007.safetensors
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model-00002-of-00004.safetensors → model-00002-of-00007.safetensors
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model-00003-of-00004.safetensors → model-00003-of-00007.safetensors
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model-00004-of-00004.safetensors → model-00004-of-00007.safetensors
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size 4661160192
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model-00005-of-00007.safetensors
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size 4661160192
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model-00006-of-00007.safetensors
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version https://git-lfs.github.com/spec/v1
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size 4997750712
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model-00007-of-00007.safetensors
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size 3739371680
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model.safetensors.index.json
CHANGED
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The diff for this file is too large to render.
See raw diff
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model.yaml
ADDED
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|
| 1 |
+
model_name: molmo
|
| 2 |
+
llm:
|
| 3 |
+
d_model: 3584
|
| 4 |
+
n_heads: 28
|
| 5 |
+
n_kv_heads: 4
|
| 6 |
+
head_dim: null
|
| 7 |
+
qkv_bias: true
|
| 8 |
+
clip_qkv: null
|
| 9 |
+
n_layers: 28
|
| 10 |
+
mlp_ratio: 4
|
| 11 |
+
mlp_hidden_size: 37888
|
| 12 |
+
activation_type: swiglu
|
| 13 |
+
block_type: sequential
|
| 14 |
+
rope: true
|
| 15 |
+
rope_full_precision: true
|
| 16 |
+
rope_theta: 1000000.0
|
| 17 |
+
rope_type: default
|
| 18 |
+
rope_factor: null
|
| 19 |
+
rope_high_freq_factor: null
|
| 20 |
+
rope_low_freq_factor: null
|
| 21 |
+
rope_original_max_position_embeddings: null
|
| 22 |
+
attention_type: sdpa
|
| 23 |
+
float32_attention: true
|
| 24 |
+
attention_dropout: 0.0
|
| 25 |
+
attention_layer_norm: false
|
| 26 |
+
attention_layer_norm_type: olmo
|
| 27 |
+
residual_dropout: 0.1
|
| 28 |
+
response_residual_dropout: 0.0
|
| 29 |
+
layer_norm_type: rms
|
| 30 |
+
layer_norm_with_affine: true
|
| 31 |
+
layer_norm_eps: 1.0e-06
|
| 32 |
+
attention_layer_norm_with_affine: true
|
| 33 |
+
max_sequence_length: 4096
|
| 34 |
+
max_position_embeddings: null
|
| 35 |
+
include_bias: false
|
| 36 |
+
bias_for_layer_norm: null
|
| 37 |
+
norm_after: false
|
| 38 |
+
moe_num_experts: 8
|
| 39 |
+
moe_top_k: 2
|
| 40 |
+
moe_mlp_impl: sparse
|
| 41 |
+
moe_log_expert_assignment: false
|
| 42 |
+
moe_shared_expert: false
|
| 43 |
+
moe_lbl_in_fp32: false
|
| 44 |
+
moe_interleave: false
|
| 45 |
+
moe_loss_weight: 0.1
|
| 46 |
+
moe_zloss_weight: null
|
| 47 |
+
moe_dropless: true
|
| 48 |
+
moe_capacity_factor: 1.25
|
| 49 |
+
embedding_dropout: 0.0
|
| 50 |
+
scale_logits: false
|
| 51 |
+
vocab_size: 152064
|
| 52 |
+
additional_vocab_size: 128
|
| 53 |
+
weight_tying: false
|
| 54 |
+
embedding_size: 152064
|
| 55 |
+
use_position_ids: true
|
| 56 |
+
tokenizer:
|
| 57 |
+
identifier: Qwen/Qwen2.5-7B
|
| 58 |
+
tokenizer_dir: null
|
| 59 |
+
depth_tokens: true
|
| 60 |
+
init_path: gs://mm-olmo/pretrained_llms/qwen2.5-7b.pt
|
| 61 |
+
init_incremental: null
|
| 62 |
+
new_embedding_init_range: 0.02
|
| 63 |
+
initializer_range: 0.02
|
| 64 |
+
normalize_input_embeds: false
|
| 65 |
+
activation_checkpoint: whole_layer
|
| 66 |
+
compile: blocks
|
| 67 |
+
fix_pad_tokenizer: false
|
| 68 |
+
resize_vocab: false
|
| 69 |
+
init_std: 0.02
|
| 70 |
+
init_fn: normal
|
| 71 |
+
init_cutoff_factor: null
|
| 72 |
+
vision_backbone:
|
| 73 |
+
vit:
|
| 74 |
+
image_model_type: siglip
|
| 75 |
+
image_default_input_size:
|
| 76 |
+
- 378
|
| 77 |
+
- 378
|
| 78 |
+
image_patch_size: 14
|
| 79 |
+
image_pos_patch_size: 14
|
| 80 |
+
image_emb_dim: 1152
|
| 81 |
+
image_num_heads: 16
|
| 82 |
+
image_num_key_value_heads: 16
|
| 83 |
+
image_num_layers: 27
|
| 84 |
+
image_head_dim: 72
|
| 85 |
+
image_mlp_dim: 4304
|
| 86 |
+
image_mlp_activations: gelu_pytorch_tanh
|
| 87 |
+
image_dropout_rate: 0.0
|
| 88 |
+
image_num_pos: 729
|
| 89 |
+
image_norm_eps: 1.0e-06
|
| 90 |
+
attention_dropout: 0.0
|
| 91 |
+
residual_dropout: 0.0
|
| 92 |
+
initializer_range: 0.02
|
| 93 |
+
float32_attention: true
|
| 94 |
+
attention_type: sdpa
|
| 95 |
+
activation_checkpointing: true
|
| 96 |
+
init_path: gs://mm-olmo/pretrained_image_encoders/siglip2-so400m-14-384.pt
|
| 97 |
+
resize_mode: siglip
|
| 98 |
+
pad_value: 0.0
|
| 99 |
+
normalize: siglip
|
| 100 |
+
image_pooling_2d: attention_meanq
|
| 101 |
+
pooling_attention_mask: false
|
| 102 |
+
image_projector: mlp
|
| 103 |
+
image_padding_embed: null
|
| 104 |
+
vit_layers:
|
| 105 |
+
- -3
|
| 106 |
+
- -9
|
| 107 |
+
skip_unused_layers: true
|
| 108 |
+
image_feature_dropout: 0.0
|
| 109 |
+
connector_activation_checkpointing: true
|
| 110 |
+
compile_vit: blocks
|
| 111 |
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data_formatter:
|
| 112 |
+
prompt_templates: uber_model
|
| 113 |
+
message_format: role
|
| 114 |
+
system_prompt: demo_or_style
|
| 115 |
+
always_start_with_space: false
|
| 116 |
+
default_inference_len: 65
|
| 117 |
+
select_answer: best
|
| 118 |
+
debug: false
|
| 119 |
+
image_last: false
|
| 120 |
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format_message_list: null
|
| 121 |
+
p_one_message: 0.0
|
| 122 |
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mm_preprocessor:
|
| 123 |
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crop_mode: overlap-and-resize-c2
|
| 124 |
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max_crops: 8
|
| 125 |
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max_images: 2
|
| 126 |
+
max_multi_image_crops: 8
|
| 127 |
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pooling_w: 2
|
| 128 |
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pooling_h: 2
|
| 129 |
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overlap_margins:
|
| 130 |
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- 4
|
| 131 |
+
- 4
|
| 132 |
+
use_col_tokens: true
|
| 133 |
+
loss_token_weighting: root_subsegments
|
| 134 |
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legacy_image_mask: false
|
| 135 |
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max_answer_len: null
|
| 136 |
+
img_aug: true
|
| 137 |
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bi_directional_attn: null
|
| 138 |
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lora_enable: true
|
| 139 |
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lora_rank: 32
|
| 140 |
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lora_alpha: 16
|
| 141 |
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lora_dropout: 0.0
|
| 142 |
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lora_bias: none
|
| 143 |
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n_action_bins: 256
|
| 144 |
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norm_stats:
|
| 145 |
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libero_object_no_noops_modified:
|
| 146 |
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action:
|
| 147 |
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mean:
|
| 148 |
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- 0.07096529006958008
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- 0.46428999304771423
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std:
|
| 156 |
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- 0.2681235373020172
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- 0.43846824765205383
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max:
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min:
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| 184 |
+
- -0.11678571254014969
|
| 185 |
+
- -0.15964286029338837
|
| 186 |
+
- 0.0
|
| 187 |
+
q99:
|
| 188 |
+
- 0.8464285731315613
|
| 189 |
+
- 0.84375
|
| 190 |
+
- 0.9375
|
| 191 |
+
- 0.08142857253551483
|
| 192 |
+
- 0.14892856776714325
|
| 193 |
+
- 0.0867857113480568
|
| 194 |
+
- 1.0
|
| 195 |
+
proprio:
|
| 196 |
+
mean:
|
| 197 |
+
- -0.02999030612409115
|
| 198 |
+
- -0.007947085425257683
|
| 199 |
+
- 0.20293472707271576
|
| 200 |
+
- 3.1086409091949463
|
| 201 |
+
- -0.21404768526554108
|
| 202 |
+
- -0.11307074874639511
|
| 203 |
+
- 0.0
|
| 204 |
+
- 0.029380427673459053
|
| 205 |
+
- -0.030556727200746536
|
| 206 |
+
std:
|
| 207 |
+
- 0.06694897264242172
|
| 208 |
+
- 0.17608462274074554
|
| 209 |
+
- 0.07807064801454544
|
| 210 |
+
- 0.0868484303355217
|
| 211 |
+
- 0.33540457487106323
|
| 212 |
+
- 0.20728276669979095
|
| 213 |
+
- 0.0
|
| 214 |
+
- 0.00956575945019722
|
| 215 |
+
- 0.009197483770549297
|
| 216 |
+
max:
|
| 217 |
+
- 0.14580604434013367
|
| 218 |
+
- 0.33216384053230286
|
| 219 |
+
- 0.3857804834842682
|
| 220 |
+
- 3.4003844261169434
|
| 221 |
+
- 0.7954911589622498
|
| 222 |
+
- 0.6642207503318787
|
| 223 |
+
- 0.0
|
| 224 |
+
- 0.04104341194033623
|
| 225 |
+
- -0.00018117300351150334
|
| 226 |
+
min:
|
| 227 |
+
- -0.1765444278717041
|
| 228 |
+
- -0.29457300901412964
|
| 229 |
+
- 0.008128180168569088
|
| 230 |
+
- 2.2890501022338867
|
| 231 |
+
- -1.883241891860962
|
| 232 |
+
- -1.0600427389144897
|
| 233 |
+
- 0.0
|
| 234 |
+
- 0.0006495157140307128
|
| 235 |
+
- -0.041782498359680176
|
| 236 |
+
q01:
|
| 237 |
+
- -0.14911890715360643
|
| 238 |
+
- -0.25978428691625594
|
| 239 |
+
- 0.009925739830359817
|
| 240 |
+
- 2.7545341420173646
|
| 241 |
+
- -1.3996034812927245
|
| 242 |
+
- -0.6867720144987106
|
| 243 |
+
- 0.0
|
| 244 |
+
- 0.008197814421728254
|
| 245 |
+
- -0.04015838988125324
|
| 246 |
+
q99:
|
| 247 |
+
- 0.09063626825809479
|
| 248 |
+
- 0.29066365867853167
|
| 249 |
+
- 0.3370887073874472
|
| 250 |
+
- 3.2611824750900267
|
| 251 |
+
- 0.32092821151018125
|
| 252 |
+
- 0.4037663781642913
|
| 253 |
+
- 0.0
|
| 254 |
+
- 0.039891827926039694
|
| 255 |
+
- -0.009106044843792932
|
| 256 |
+
num_transitions: 66984
|
| 257 |
+
num_trajectories: 454
|