prince-canuma
commited on
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +25 -0
- added_tokens.json +6 -0
- chat_template.json +3 -0
- config.json +51 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- model.safetensors.index.json +0 -0
- preprocessor_config.json +24 -0
- processor_config.json +6 -0
- special_tokens_map.json +20 -0
- tokenizer.json +3 -0
- tokenizer_config.json +52 -0
- vocab.json +0 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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language:
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- en
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license: other
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license_name: tongyi-qianwen-research
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license_link: LICENSE
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pipeline_tag: image-text-to-text
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tags:
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- vision
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- image-text-to-text
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- mlx
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---
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# mlx-community/llava-interleave-qwen-0.5b-8bit
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This model was converted to MLX format from [`llava-hf/llava-interleave-qwen-0.5b-hf`]() using mlx-vlm version **0.0.15**.
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Refer to the [original model card](https://huggingface.co/llava-hf/llava-interleave-qwen-0.5b-hf) for more details on the model.
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## Use with mlx
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```bash
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pip install -U mlx-vlm
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```
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```bash
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python -m mlx_vlm.generate --model mlx-community/llava-interleave-qwen-0.5b-8bit --max-tokens 100 --temp 0.0
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```
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added_tokens.json
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{
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"<image>": 151646,
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"<|endoftext|>": 151643,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644
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}
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chat_template.json
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{
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"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n'}}{# Render all images first #}{% for content in message['content'] | selectattr('type', 'equalto', 'image') %}{{ '<image>' }}{% endfor %}{# Render all text next #}{% if message['role'] != 'assistant' %}{% for content in message['content'] | selectattr('type', 'equalto', 'text') %}{{ '\n' + content['text'] }}{% endfor %}{% else %}{% for content in message['content'] | selectattr('type', 'equalto', 'text') %}{% generation %}{{ '\n' + content['text'] }}{% endgeneration %}{% endfor %}{% endif %}{{'<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}"
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}
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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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"ignore_index": -100,
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"image_token_index": 151646,
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"model_type": "llava",
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"projector_hidden_act": "gelu",
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"quantization": {
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"group_size": 64,
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"bits": 8
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},
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"text_config": {
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"_name_or_path": "Qwen/Qwen1.5-0.5B-Chat",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"hidden_size": 1024,
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"intermediate_size": 2816,
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"max_position_embeddings": 32768,
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"max_window_layers": 21,
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"model_type": "qwen2",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"num_key_value_heads": 16,
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"rope_theta": 1000000.0,
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"sliding_window": 32768,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"use_sliding_window": false,
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"vocab_size": 152000
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},
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"torch_dtype": "bfloat16",
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"transformers_version": "4.43.0.dev0",
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"vision_config": {
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_size": 1152,
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"image_size": 384,
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"intermediate_size": 4352,
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"layer_norm_eps": 1e-06,
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"model_type": "siglip_vision_model",
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"num_attention_heads": 16,
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"num_hidden_layers": 26,
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"patch_size": 14,
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"vision_use_head": false
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},
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"vision_feature_layer": -1,
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"vision_feature_select_strategy": "full"
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c5d06e82d4f8873ff1b7cff981928ad4f60c0be53a49bf257fe1107bc0ad8f4d
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size 938964533
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model.safetensors.index.json
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preprocessor_config.json
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{
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"do_convert_rgb": null,
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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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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "SiglipImageProcessor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"processor_class": "LlavaProcessor",
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 384,
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"width": 384
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}
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}
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processor_config.json
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{
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"image_token": "<image>",
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"patch_size": null,
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"processor_class": "LlavaProcessor",
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"vision_feature_select_strategy": null
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}
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"eos_token": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:32e8f623d8dce60b5a93496ec810434ef744287ac041cf2c6032743a3578baa5
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size 11418450
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"151643": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151644": {
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"content": "<|im_start|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151645": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151646": {
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"content": "<image>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"bos_token": null,
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"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"model_max_length": 32768,
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"pad_token": "<|endoftext|>",
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"processor_class": "LlavaProcessor",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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vocab.json
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