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Browse files- config.json +1 -1
- generation_config.json +1 -2
- model-00001-of-00002.safetensors +1 -1
- model-00002-of-00002.safetensors +2 -2
- model.safetensors.index.json +2 -1
- modeling_mono.py +1 -1
config.json
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@@ -1,5 +1,5 @@
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{
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"_name_or_path": "checkpoints/mono-ve-3b
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"architectures": [
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"MonoForConditionalGeneration"
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],
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{
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"_name_or_path": "checkpoints/mono-ve-3b/",
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"architectures": [
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"MonoForConditionalGeneration"
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],
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generation_config.json
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@@ -2,6 +2,5 @@
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"_from_model_config": true,
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"transformers_version": "4.46.2"
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"use_cache": false
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}
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"_from_model_config": true,
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"transformers_version": "4.46.2"
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}
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model-00001-of-00002.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 4993038848
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:fa103e12dbfbfe9472e0011410274c02fa299063ab5f6a044b8328b15d9c70aa
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size 4993038848
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model-00002-of-00002.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:5ebba94046658bfa8783bf41eb2d5f39231277d5e668d51e5d7a10665b0335a7
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+
size 4101610800
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model.safetensors.index.json
CHANGED
@@ -1,8 +1,9 @@
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{
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"metadata": {
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"total_size":
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},
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"weight_map": {
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"mm_projector.linear_proj.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
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"mm_projector.linear_proj.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
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"mm_projector.linear_proj.gate_proj.weight": "model-00002-of-00002.safetensors",
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{
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"metadata": {
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"total_size": 9094589440
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},
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"weight_map": {
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"lm_head.weight": "model-00002-of-00002.safetensors",
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"mm_projector.linear_proj.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
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"mm_projector.linear_proj.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
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"mm_projector.linear_proj.gate_proj.weight": "model-00002-of-00002.safetensors",
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modeling_mono.py
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@@ -90,7 +90,7 @@ class MonoForConditionalGeneration(MonoPretrainedModel, GenerationMixin):
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# print(f"pixel_values: {pixel_values}")
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batch_size, C, H, W = pixel_values.shape
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x = self.vision_tower(pixel_values, output_hidden_states=True)
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x = x[-2]
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# print(x)
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x = self.mm_projector(x)
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# print(f"image features: {x}")
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# print(f"pixel_values: {pixel_values}")
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batch_size, C, H, W = pixel_values.shape
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x = self.vision_tower(pixel_values, output_hidden_states=True)
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x = x.hidden_states[-2]
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# print(x)
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x = self.mm_projector(x)
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# print(f"image features: {x}")
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