Update tiny models for LlavaForConditionalGeneration
Browse files- chat_template.jinja +2 -0
- config.json +81 -0
- generation_config.json +10 -0
- model.safetensors +3 -0
- preprocessor_config.json +28 -0
- tokenizer.json +0 -0
- tokenizer_config.json +22 -0
chat_template.jinja
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{% for message in messages %}{% if message['role'] != 'system' %}{{ message['role'].upper() + ': '}}{% endif %}{# Render all images first #}{% for content in message['content'] | selectattr('type', 'equalto', 'image') %}{{ '<image>
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' }}{% endfor %}{# Render all text next #}{% if message['role'] != 'assistant' %}{% for content in message['content'] | selectattr('type', 'equalto', 'text') %}{{ content['text'] + ' '}}{% endfor %}{% else %}{% for content in message['content'] | selectattr('type', 'equalto', 'text') %}{% generation %}{{ content['text'] + ' '}}{% endgeneration %}{% endfor %}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'ASSISTANT:' }}{% endif %}
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config.json
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{
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"architectures": [
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"LlavaForConditionalGeneration"
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],
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"dtype": "float32",
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"ignore_index": -100,
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"image_seq_length": 16,
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"image_token_index": 0,
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"model_type": "llava",
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"multimodal_projector_bias": true,
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"projector_hidden_act": "gelu",
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"text_config": {
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"attention_bias": false,
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"attention_dropout": 0.0,
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 8,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 32,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"initializer_range": 0.02,
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"intermediate_size": 37,
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"is_training": true,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"max_position_embeddings": 512,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 4,
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"num_choices": 4,
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"num_hidden_layers": 2,
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"num_key_value_heads": 4,
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"pad_token_id": 32001,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 10000.0,
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"rope_type": "default"
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},
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"seq_length": 7,
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"tie_word_embeddings": false,
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"type_sequence_label_size": 2,
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"type_vocab_size": 16,
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"use_cache": true,
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"use_input_mask": true,
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"use_labels": true,
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"use_token_type_ids": false,
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"vocab_size": 32002
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},
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"tie_word_embeddings": false,
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"transformers_version": "5.16.0.dev0",
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"vision_config": {
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"attention_dropout": 0.1,
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"dropout": 0.1,
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"hidden_act": "quick_gelu",
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"hidden_size": 32,
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"image_size": 8,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 37,
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"is_training": true,
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"layer_norm_eps": 1e-05,
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"model_type": "clip_vision_model",
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"num_attention_heads": 4,
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"num_channels": 3,
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"num_hidden_layers": 2,
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"patch_size": 2,
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"projection_dim": 32
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},
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"vision_feature_layer": -1,
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"vision_feature_select_strategy": "default"
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"output_attentions": false,
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"output_hidden_states": false,
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"pad_token_id": 32001,
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"transformers_version": "5.16.0.dev0",
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"use_cache": true
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6cc95f2fa982239f5a88240c2b64f00542022479718dd90735d1a7675cfae525
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size 8328760
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preprocessor_config.json
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{
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"crop_size": {
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"longest_edge": 8,
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"shortest_edge": 8
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},
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"do_center_crop": true,
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.48145466,
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0.4578275,
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0.40821073
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],
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"image_processor_type": "CLIPImageProcessor",
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"longest_edge": 8,
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"shortest_edge": 8
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}
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}
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tokenizer.json
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See raw diff
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tokenizer_config.json
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{
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"add_prefix_space": null,
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"backend": "tokenizers",
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"image_token": "<image>",
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"is_local": true,
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"legacy": false,
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"local_files_only": false,
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"model_max_length": 1000000000000000019884624838656,
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"model_specific_special_tokens": {
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"image_token": "<image>"
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},
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"pad_token": "<pad>",
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"padding_side": "left",
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"processor_class": "LlavaProcessor",
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"sp_model_kwargs": {},
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"tokenizer_class": "TokenizersBackend",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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