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Duplicate from llava-hf/llava-v1.6-34b-hf
Browse filesCo-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>
- .gitattributes +35 -0
- README.md +99 -0
- added_tokens.json +3 -0
- config.json +68 -0
- generation_config.json +8 -0
- model-00001-of-00015.safetensors +3 -0
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- model-00015-of-00015.safetensors +3 -0
- model.safetensors.index.json +946 -0
- preprocessor_config.json +51 -0
- special_tokens_map.json +39 -0
- tokenizer.model +3 -0
- tokenizer_config.json +73 -0
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README.md
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---
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tags:
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- vision
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- image-text-to-text
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---
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# LLaVa-Next, leveraging [NousResearch/Nous-Hermes-2-Yi-34B](https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B) as LLM
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The LLaVA-NeXT model was proposed in [LLaVA-NeXT: Improved reasoning, OCR, and world knowledge](https://llava-vl.github.io/blog/2024-01-30-llava-next/) by Haotian Liu, Chunyuan Li, Yuheng Li, Bo Li, Yuanhan Zhang, Sheng Shen, Yong Jae Lee. LLaVa-NeXT (also called LLaVa-1.6) improves upon [LLaVa](llava) by increasing the input image resolution and training on an improved visual instruction tuning dataset to improve OCR and common sense reasoning.
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Disclaimer: The team releasing LLaVa-NeXT did not write a model card for this model so this model card has been written by the Hugging Face team.
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## Model description
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LLaVa combines a pre-trained large language model with a pre-trained vision encoder for multimodal chatbot use cases. LLaVA 1.6 improves on LLaVA 1.5 BY:
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- Using [Mistral-7B](https://mistral.ai/news/announcing-mistral-7b/) and [Nous-Hermes-2-Yi-34B](https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B) (for this checkpoint) which has better commercial licenses,
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and bilingual support
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- More diverse and high quality data mixture
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- Dynamic high resolution
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## Intended uses & limitations
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You can use the raw model for tasks like image captioning, visual question answering, multimodal chatbot use cases. See the [model hub](https://huggingface.co/models?search=llava-hf) to look for
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other versions on a task that interests you.
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### How to use
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Here's the prompt template for this model:
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```
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"<|im_start|>system\nAnswer the questions.<|im_end|><|im_start|>user\n<image>\n<your_text_prompt_here><|im_end|><|im_start|>assistant\n"
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```
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You can load and use the model like following:
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```python
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from transformers import LlavaNextProcessor, LlavaNextForConditionalGeneration
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import torch
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from PIL import Image
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import requests
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# TODO support fast tokenizer here
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processor = LlavaNextProcessor.from_pretrained("llava-hf/llava-v1.6-34b-hf", use_fast=False)
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model = LlavaNextForConditionalGeneration.from_pretrained("llava-hf/llava-v1.6-34b-hf", torch_dtype=torch.float16, low_cpu_mem_usage=True)
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model.to("cuda:0")
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# prepare image and text prompt, using the appropriate prompt template
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url = "https://github.com/haotian-liu/LLaVA/blob/1a91fc274d7c35a9b50b3cb29c4247ae5837ce39/images/llava_v1_5_radar.jpg?raw=true"
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image = Image.open(requests.get(url, stream=True).raw)
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prompt = "<|im_start|>system\nAnswer the questions.<|im_end|><|im_start|>user\n<image>\nWhat is shown in this image?<|im_end|><|im_start|>assistant\n"
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inputs = processor(prompt, image, return_tensors="pt").to("cuda:0")
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# autoregressively complete prompt
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output = model.generate(**inputs, max_new_tokens=100)
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print(processor.decode(output[0], skip_special_tokens=True))
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```
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### Model optimization
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#### 4-bit quantization through `bitsandbytes` library
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First make sure to install `bitsandbytes`, `pip install bitsandbytes` and make sure to have access to a CUDA compatible GPU device. Simply change the snippet above with:
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```diff
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model = LlavaNextForConditionalGeneration.from_pretrained(
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model_id,
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torch_dtype=torch.float16,
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low_cpu_mem_usage=True,
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+ load_in_4bit=True
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)
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```
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#### Use Flash-Attention 2 to further speed-up generation
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First make sure to install `flash-attn`. Refer to the [original repository of Flash Attention](https://github.com/Dao-AILab/flash-attention) regarding that package installation. Simply change the snippet above with:
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```diff
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model = LlavaNextForConditionalGeneration.from_pretrained(
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model_id,
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torch_dtype=torch.float16,
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low_cpu_mem_usage=True,
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+ use_flash_attention_2=True
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).to(0)
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```
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### BibTeX entry and citation info
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```bibtex
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@misc{liu2023improved,
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title={Improved Baselines with Visual Instruction Tuning},
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author={Haotian Liu and Chunyuan Li and Yuheng Li and Yong Jae Lee},
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year={2023},
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eprint={2310.03744},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}
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```
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added_tokens.json
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{
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"<image>": 64000
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}
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config.json
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{
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"architectures": [
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"LlavaNextForConditionalGeneration"
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],
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"ignore_index": -100,
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"image_grid_pinpoints": [
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[
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336,
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672
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],
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"image_token_index": 64000,
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"model_type": "llava_next",
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"projector_hidden_act": "gelu",
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"text_config": {
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"_name_or_path": "NousResearch/Nous-Hermes-2-Yi-34B",
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"architectures": [
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"LlamaForCausalLM"
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],
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"eos_token_id": 7,
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"hidden_size": 7168,
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"intermediate_size": 20480,
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+
"max_position_embeddings": 4096,
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| 40 |
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"model_type": "llama",
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"num_attention_heads": 56,
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"num_hidden_layers": 60,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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"rms_norm_eps": 1e-05,
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"rope_theta": 5000000.0,
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"torch_dtype": "bfloat16",
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"use_cache": false,
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"vocab_size": 64064
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},
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"torch_dtype": "float16",
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"transformers_version": "4.39.0.dev0",
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"use_image_newline_parameter": true,
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"vision_config": {
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"hidden_size": 1024,
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"image_size": 336,
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"intermediate_size": 4096,
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"model_type": "clip_vision_model",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"patch_size": 14,
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"projection_dim": 768,
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"vocab_size": 32000
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},
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"vision_feature_layer": -2,
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"vision_feature_select_strategy": "default",
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"vocab_size": 64064
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}
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generation_config.json
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"use_cache": false
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}
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model-00001-of-00015.safetensors
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model-00015-of-00015.safetensors
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model.safetensors.index.json
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| 912 |
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|
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| 927 |
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|
| 928 |
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|
| 929 |
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|
| 930 |
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| 931 |
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| 932 |
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|
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|
| 934 |
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"vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.weight": "model-00001-of-00015.safetensors",
|
| 935 |
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|
| 936 |
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"vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight": "model-00001-of-00015.safetensors",
|
| 937 |
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"vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.bias": "model-00001-of-00015.safetensors",
|
| 938 |
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"vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight": "model-00001-of-00015.safetensors",
|
| 939 |
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"vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.bias": "model-00001-of-00015.safetensors",
|
| 940 |
+
"vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight": "model-00001-of-00015.safetensors",
|
| 941 |
+
"vision_tower.vision_model.post_layernorm.bias": "model-00001-of-00015.safetensors",
|
| 942 |
+
"vision_tower.vision_model.post_layernorm.weight": "model-00001-of-00015.safetensors",
|
| 943 |
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"vision_tower.vision_model.pre_layrnorm.bias": "model-00001-of-00015.safetensors",
|
| 944 |
+
"vision_tower.vision_model.pre_layrnorm.weight": "model-00001-of-00015.safetensors"
|
| 945 |
+
}
|
| 946 |
+
}
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
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|
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|
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|
|
|
|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"aspect_ratio_setting": "anyres",
|
| 3 |
+
"crop_size": {
|
| 4 |
+
"height": 336,
|
| 5 |
+
"width": 336
|
| 6 |
+
},
|
| 7 |
+
"do_center_crop": true,
|
| 8 |
+
"do_convert_rgb": true,
|
| 9 |
+
"do_normalize": true,
|
| 10 |
+
"do_rescale": true,
|
| 11 |
+
"do_resize": true,
|
| 12 |
+
"image_grid_pinpoints": [
|
| 13 |
+
[
|
| 14 |
+
336,
|
| 15 |
+
672
|
| 16 |
+
],
|
| 17 |
+
[
|
| 18 |
+
672,
|
| 19 |
+
336
|
| 20 |
+
],
|
| 21 |
+
[
|
| 22 |
+
672,
|
| 23 |
+
672
|
| 24 |
+
],
|
| 25 |
+
[
|
| 26 |
+
1008,
|
| 27 |
+
336
|
| 28 |
+
],
|
| 29 |
+
[
|
| 30 |
+
336,
|
| 31 |
+
1008
|
| 32 |
+
]
|
| 33 |
+
],
|
| 34 |
+
"image_mean": [
|
| 35 |
+
0.48145466,
|
| 36 |
+
0.4578275,
|
| 37 |
+
0.40821073
|
| 38 |
+
],
|
| 39 |
+
"image_processor_type": "LlavaNextImageProcessor",
|
| 40 |
+
"image_std": [
|
| 41 |
+
0.26862954,
|
| 42 |
+
0.26130258,
|
| 43 |
+
0.27577711
|
| 44 |
+
],
|
| 45 |
+
"processor_class": "LlavaNextProcessor",
|
| 46 |
+
"resample": 3,
|
| 47 |
+
"rescale_factor": 0.00392156862745098,
|
| 48 |
+
"size": {
|
| 49 |
+
"shortest_edge": 336
|
| 50 |
+
}
|
| 51 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
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|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
{
|
| 4 |
+
"content": "<image>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false
|
| 9 |
+
}
|
| 10 |
+
],
|
| 11 |
+
"bos_token": {
|
| 12 |
+
"content": "<|startoftext|>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false
|
| 17 |
+
},
|
| 18 |
+
"eos_token": {
|
| 19 |
+
"content": "<|im_end|>",
|
| 20 |
+
"lstrip": false,
|
| 21 |
+
"normalized": false,
|
| 22 |
+
"rstrip": false,
|
| 23 |
+
"single_word": false
|
| 24 |
+
},
|
| 25 |
+
"pad_token": {
|
| 26 |
+
"content": "<unk>",
|
| 27 |
+
"lstrip": false,
|
| 28 |
+
"normalized": false,
|
| 29 |
+
"rstrip": false,
|
| 30 |
+
"single_word": false
|
| 31 |
+
},
|
| 32 |
+
"unk_token": {
|
| 33 |
+
"content": "<unk>",
|
| 34 |
+
"lstrip": false,
|
| 35 |
+
"normalized": false,
|
| 36 |
+
"rstrip": false,
|
| 37 |
+
"single_word": false
|
| 38 |
+
}
|
| 39 |
+
}
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:386c49cf943d71aa110361135338c50e38beeff0a66593480421f37b319e1a39
|
| 3 |
+
size 1033105
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": true,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<|startoftext|>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "<|endoftext|>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
},
|
| 30 |
+
"6": {
|
| 31 |
+
"content": "<|im_start|>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": false
|
| 37 |
+
},
|
| 38 |
+
"7": {
|
| 39 |
+
"content": "<|im_end|>",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": true
|
| 45 |
+
},
|
| 46 |
+
"64000": {
|
| 47 |
+
"content": "<image>",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": false,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false,
|
| 52 |
+
"special": true
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"additional_special_tokens": [
|
| 56 |
+
"<image>"
|
| 57 |
+
],
|
| 58 |
+
"bos_token": "<|startoftext|>",
|
| 59 |
+
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 60 |
+
"clean_up_tokenization_spaces": false,
|
| 61 |
+
"eos_token": "<|im_end|>",
|
| 62 |
+
"legacy": true,
|
| 63 |
+
"model_max_length": 4096,
|
| 64 |
+
"pad_token": "<unk>",
|
| 65 |
+
"processor_class": "LlavaNextProcessor",
|
| 66 |
+
"sp_model_kwargs": {},
|
| 67 |
+
"spaces_between_special_tokens": false,
|
| 68 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 69 |
+
"trust_remote_code": false,
|
| 70 |
+
"unk_token": "<unk>",
|
| 71 |
+
"use_default_system_prompt": false,
|
| 72 |
+
"use_fast": true
|
| 73 |
+
}
|