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- hf-models/LiheYoung/depth_anything_vitl14/config.json +1 -0
- hf-models/Qwen/Qwen2.5-7B-Instruct/LICENSE +202 -0
- hf-models/Qwen/Qwen2.5-7B-Instruct/README.md +135 -0
- hf-models/Qwen/Qwen2.5-7B-Instruct/config.json +27 -0
- hf-models/Qwen/Qwen2.5-7B-Instruct/generation_config.json +14 -0
- hf-models/Qwen/Qwen2.5-7B-Instruct/merges.txt +0 -0
- hf-models/Qwen/Qwen2.5-7B-Instruct/model-00001-of-00004.safetensors +3 -0
- hf-models/Qwen/Qwen2.5-7B-Instruct/model-00003-of-00004.safetensors +3 -0
- hf-models/Qwen/Qwen2.5-7B-Instruct/model.safetensors.index.json +346 -0
- hf-models/Qwen/Qwen2.5-7B-Instruct/tokenizer.json +0 -0
- hf-models/Qwen/Qwen2.5-7B-Instruct/tokenizer_config.json +207 -0
- hf-models/Qwen/Qwen2.5-7B-Instruct/vocab.json +0 -0
- hf-models/liuhaotian/llava-v1.6-34b/README.md +49 -0
- hf-models/liuhaotian/llava-v1.6-34b/config.json +74 -0
- hf-models/liuhaotian/llava-v1.6-34b/generation_config.json +7 -0
- hf-models/liuhaotian/llava-v1.6-34b/model-00002-of-00015.safetensors +3 -0
- hf-models/liuhaotian/llava-v1.6-34b/model-00003-of-00015.safetensors +3 -0
- hf-models/liuhaotian/llava-v1.6-34b/model-00005-of-00015.safetensors +3 -0
- hf-models/liuhaotian/llava-v1.6-34b/model-00009-of-00015.safetensors +3 -0
- hf-models/liuhaotian/llava-v1.6-34b/model-00012-of-00015.safetensors +3 -0
- hf-models/liuhaotian/llava-v1.6-34b/model.safetensors.index.json +946 -0
- hf-models/liuhaotian/llava-v1.6-34b/special_tokens_map.json +24 -0
- hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/README.md +252 -0
- hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/added_tokens.json +6 -0
- hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/config.json +202 -0
- hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/generation_config.json +14 -0
- hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/merges.txt +0 -0
- hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/model-00003-of-00004.safetensors +3 -0
- hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/model-00004-of-00004.safetensors +3 -0
- hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/model.safetensors.index.json +772 -0
- hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/preprocessor_config.json +24 -0
- hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/special_tokens_map.json +20 -0
- hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/tokenizer.json +0 -0
- hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/tokenizer_config.json +53 -0
- hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/trainer_state.json +0 -0
- hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/vocab.json +0 -0
- hf-models/openai/clip-vit-base-patch16/README.md +126 -0
- hf-models/openai/clip-vit-base-patch16/config.json +157 -0
- hf-models/openai/clip-vit-base-patch16/flax_model.msgpack +3 -0
- hf-models/openai/clip-vit-base-patch16/merges.txt +0 -0
- hf-models/openai/clip-vit-base-patch16/preprocessor_config.json +19 -0
- hf-models/openai/clip-vit-base-patch16/special_tokens_map.json +1 -0
- hf-models/openai/clip-vit-base-patch16/tokenizer.json +0 -0
- hf-models/openai/clip-vit-base-patch16/tokenizer_config.json +34 -0
- hf-models/openai/clip-vit-base-patch16/vocab.json +0 -0
- vbench/VBench_full_info.json +0 -0
- vbench2/VBench2_full_info.json +0 -0
README.md
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# videogenevalkit — checkpoint bundle
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[videogenevalkit](https://github.com/videogenevalkit/videogenevalkit) toolkit
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sources (Drive links, expired buckets, etc.). Large models that are already
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on HuggingFace are NOT rehosted — for those, the toolkit pulls directly:
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|---|---:|---|---|
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| `groundingdino_swint_ogc.pth` | 662 MB | T2V-CompBench (numeracy, spatial, motion_binding), WorldScore (object_control, motion_accuracy) | [IDEA-Research/GroundingDINO](https://github.com/IDEA-Research/GroundingDINO) — Apache-2.0 |
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| `sam_vit_h_4b8939.pth` | 2.4 GB | T2V-CompBench (spatial, motion_binding), WorldScore (motion_accuracy) | [facebookresearch/segment-anything](https://github.com/facebookresearch/segment-anything) — Apache-2.0 |
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| `depth_anything_vitl14.pth` | 1.3 GB | T2V-CompBench (spatial_relationships 3D depth) | [LiheYoung/Depth-Anything](https://github.com/LiheYoung/Depth-Anything) — Apache-2.0 |
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| `cvo_raft_patch_8.pth` | 21 MB | T2V-CompBench motion_binding (DOT estimator) | [facebookresearch/dot](https://github.com/facebookresearch/dot) — BSD |
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| `movi_f_raft_patch_4_alpha.pth` | 23 MB | T2V-CompBench motion_binding (DOT refiner) | [facebookresearch/dot](https://github.com/facebookresearch/dot) — BSD |
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| `movi_f_cotracker2_patch_4_wind_8.pth` | 195 MB | T2V-CompBench motion_binding (DOT tracker; cotracker2 backbone) | [facebookresearch/dot](https://github.com/facebookresearch/dot) — BSD |
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#
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```
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## Licensing
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## See also
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# videogenevalkit — checkpoint bundle
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All model weights needed by the
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[videogenevalkit](https://github.com/videogenevalkit/videogenevalkit) toolkit.
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Organized by the benchmark that consumes each set.
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## Quickstart
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```bash
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hf download videogenevalkit/checkpoints --repo-type dataset --local-dir ckpts
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```
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Then the toolkit reads from `ckpts/` automatically (path configurable via env vars).
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## Layout
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```
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t2vcompbench/ # T2V-CompBench upstream-mode CV pipeline (6 files, 4.6 GB)
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groundingdino_swint_ogc.pth # GD-SwinT-OGC backbone (662 MB)
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sam_vit_h_4b8939.pth # SAM-H (2.4 GB)
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depth_anything_vitl14.pth # Depth-Anything V1 (1.3 GB)
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cvo_raft_patch_8.pth # DOT estimator (21 MB)
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movi_f_raft_patch_4_alpha.pth # DOT refiner (23 MB)
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movi_f_cotracker2_patch_4_wind_8.pth # DOT tracker / cotracker2 (195 MB)
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worldscore/ # WorldScore metric stack (9 files, ~4 GB)
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sam2.1_hiera_large.pt # SAM2 (898 MB)
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sam2.1_hiera_base_plus.pt # SAM2 alternative (324 MB)
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VFIMamba.pkl # motion_smoothness backbone (264 MB)
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Tartan-C-T-TSKH-spring540x960-M.pth # SEA-RAFT (79 MB)
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raft-things.pth # classic RAFT (21 MB)
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droid.pth # DROID-SLAM (16 MB)
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sac+logos+ava1-l14-linearMSE.pth # LAION aesthetic predictor (4 MB)
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groundingdino_swint_ogc.pth # ditto (WorldScore wants its own copy)
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sam_vit_h_4b8939.pth # ditto
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vbench/ # VBench v1 prompt-info registry
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VBench_full_info.json
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vbench2/ # VBench-2.0 prompt-info registry
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VBench2_full_info.json
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hf-models/ # HuggingFace model mirrors (for offline / China-mirror users)
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liuhaotian/llava-v1.6-34b/ # 65 GB, T2V-CompBench MLLM upstream mode
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Qwen/Qwen2.5-7B-Instruct/ # 15 GB, VBench-2.0 Complex_Plot judge
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lmms-lab/LLaVA-Video-7B-Qwen2/ # 15 GB, VBench-2.0 LLaVA dims
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openai/clip-vit-base-patch16/ # 1.2 GB, WorldScore content_alignment
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LiheYoung/depth_anything_vitl14/ # HF-formatted Depth-Anything V1
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```
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## Licensing
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Each weight redistributes from its upstream release under the source's license
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(predominantly Apache-2.0 and BSD; LLaVA + Qwen are under research-friendly
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terms). Cite the upstream papers when reporting numbers that depend on these
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weights.
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## See also
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hf-models/LiheYoung/depth_anything_vitl14/config.json
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{"encoder": "vitl", "features": 256, "out_channels": [256, 512, 1024, 1024], "use_bn": false, "use_clstoken": false}
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|
hf-models/Qwen/Qwen2.5-7B-Instruct/README.md
ADDED
|
@@ -0,0 +1,135 @@
|
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|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
license_link: https://huggingface.co/Qwen/Qwen2.5-7B-Instruct/blob/main/LICENSE
|
| 4 |
+
language:
|
| 5 |
+
- en
|
| 6 |
+
pipeline_tag: text-generation
|
| 7 |
+
base_model: Qwen/Qwen2.5-7B
|
| 8 |
+
tags:
|
| 9 |
+
- chat
|
| 10 |
+
library_name: transformers
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Qwen2.5-7B-Instruct
|
| 14 |
+
<a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
|
| 15 |
+
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
|
| 16 |
+
</a>
|
| 17 |
+
|
| 18 |
+
## Introduction
|
| 19 |
+
|
| 20 |
+
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:
|
| 21 |
+
|
| 22 |
+
- Significantly **more knowledge** and has greatly improved capabilities in **coding** and **mathematics**, thanks to our specialized expert models in these domains.
|
| 23 |
+
- Significant improvements in **instruction following**, **generating long texts** (over 8K tokens), **understanding structured data** (e.g, tables), and **generating structured outputs** especially JSON. **More resilient to the diversity of system prompts**, enhancing role-play implementation and condition-setting for chatbots.
|
| 24 |
+
- **Long-context Support** up to 128K tokens and can generate up to 8K tokens.
|
| 25 |
+
- **Multilingual support** for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
|
| 26 |
+
|
| 27 |
+
**This repo contains the instruction-tuned 7B Qwen2.5 model**, which has the following features:
|
| 28 |
+
- Type: Causal Language Models
|
| 29 |
+
- Training Stage: Pretraining & Post-training
|
| 30 |
+
- Architecture: transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
|
| 31 |
+
- Number of Parameters: 7.61B
|
| 32 |
+
- Number of Paramaters (Non-Embedding): 6.53B
|
| 33 |
+
- Number of Layers: 28
|
| 34 |
+
- Number of Attention Heads (GQA): 28 for Q and 4 for KV
|
| 35 |
+
- Context Length: Full 131,072 tokens and generation 8192 tokens
|
| 36 |
+
- Please refer to [this section](#processing-long-texts) for detailed instructions on how to deploy Qwen2.5 for handling long texts.
|
| 37 |
+
|
| 38 |
+
For more details, please refer to our [blog](https://qwenlm.github.io/blog/qwen2.5/), [GitHub](https://github.com/QwenLM/Qwen2.5), and [Documentation](https://qwen.readthedocs.io/en/latest/).
|
| 39 |
+
|
| 40 |
+
## Requirements
|
| 41 |
+
|
| 42 |
+
The code of Qwen2.5 has been in the latest Hugging face `transformers` and we advise you to use the latest version of `transformers`.
|
| 43 |
+
|
| 44 |
+
With `transformers<4.37.0`, you will encounter the following error:
|
| 45 |
+
```
|
| 46 |
+
KeyError: 'qwen2'
|
| 47 |
+
```
|
| 48 |
+
|
| 49 |
+
## Quickstart
|
| 50 |
+
|
| 51 |
+
Here provides a code snippet with `apply_chat_template` to show you how to load the tokenizer and model and how to generate contents.
|
| 52 |
+
|
| 53 |
+
```python
|
| 54 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 55 |
+
|
| 56 |
+
model_name = "Qwen/Qwen2.5-7B-Instruct"
|
| 57 |
+
|
| 58 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 59 |
+
model_name,
|
| 60 |
+
torch_dtype="auto",
|
| 61 |
+
device_map="auto"
|
| 62 |
+
)
|
| 63 |
+
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
| 64 |
+
|
| 65 |
+
prompt = "Give me a short introduction to large language model."
|
| 66 |
+
messages = [
|
| 67 |
+
{"role": "system", "content": "You are Qwen, created by Alibaba Cloud. You are a helpful assistant."},
|
| 68 |
+
{"role": "user", "content": prompt}
|
| 69 |
+
]
|
| 70 |
+
text = tokenizer.apply_chat_template(
|
| 71 |
+
messages,
|
| 72 |
+
tokenize=False,
|
| 73 |
+
add_generation_prompt=True
|
| 74 |
+
)
|
| 75 |
+
model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
|
| 76 |
+
|
| 77 |
+
generated_ids = model.generate(
|
| 78 |
+
**model_inputs,
|
| 79 |
+
max_new_tokens=512
|
| 80 |
+
)
|
| 81 |
+
generated_ids = [
|
| 82 |
+
output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
|
| 83 |
+
]
|
| 84 |
+
|
| 85 |
+
response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
|
| 86 |
+
```
|
| 87 |
+
|
| 88 |
+
### Processing Long Texts
|
| 89 |
+
|
| 90 |
+
The current `config.json` is set for context length up to 32,768 tokens.
|
| 91 |
+
To handle extensive inputs exceeding 32,768 tokens, we utilize [YaRN](https://arxiv.org/abs/2309.00071), a technique for enhancing model length extrapolation, ensuring optimal performance on lengthy texts.
|
| 92 |
+
|
| 93 |
+
For supported frameworks, you could add the following to `config.json` to enable YaRN:
|
| 94 |
+
```json
|
| 95 |
+
{
|
| 96 |
+
...,
|
| 97 |
+
"rope_scaling": {
|
| 98 |
+
"factor": 4.0,
|
| 99 |
+
"original_max_position_embeddings": 32768,
|
| 100 |
+
"type": "yarn"
|
| 101 |
+
}
|
| 102 |
+
}
|
| 103 |
+
```
|
| 104 |
+
|
| 105 |
+
For deployment, we recommend using vLLM.
|
| 106 |
+
Please refer to our [Documentation](https://qwen.readthedocs.io/en/latest/deployment/vllm.html) for usage if you are not familar with vLLM.
|
| 107 |
+
Presently, vLLM only supports static YARN, which means the scaling factor remains constant regardless of input length, **potentially impacting performance on shorter texts**.
|
| 108 |
+
We advise adding the `rope_scaling` configuration only when processing long contexts is required.
|
| 109 |
+
|
| 110 |
+
## Evaluation & Performance
|
| 111 |
+
|
| 112 |
+
Detailed evaluation results are reported in this [📑 blog](https://qwenlm.github.io/blog/qwen2.5/).
|
| 113 |
+
|
| 114 |
+
For requirements on GPU memory and the respective throughput, see results [here](https://qwen.readthedocs.io/en/latest/benchmark/speed_benchmark.html).
|
| 115 |
+
|
| 116 |
+
## Citation
|
| 117 |
+
|
| 118 |
+
If you find our work helpful, feel free to give us a cite.
|
| 119 |
+
|
| 120 |
+
```
|
| 121 |
+
@misc{qwen2.5,
|
| 122 |
+
title = {Qwen2.5: A Party of Foundation Models},
|
| 123 |
+
url = {https://qwenlm.github.io/blog/qwen2.5/},
|
| 124 |
+
author = {Qwen Team},
|
| 125 |
+
month = {September},
|
| 126 |
+
year = {2024}
|
| 127 |
+
}
|
| 128 |
+
|
| 129 |
+
@article{qwen2,
|
| 130 |
+
title={Qwen2 Technical Report},
|
| 131 |
+
author={An Yang and Baosong Yang and Binyuan Hui and Bo Zheng and Bowen Yu and Chang Zhou and Chengpeng Li and Chengyuan Li and Dayiheng Liu and Fei Huang and Guanting Dong and Haoran Wei and Huan Lin and Jialong Tang and Jialin Wang and Jian Yang and Jianhong Tu and Jianwei Zhang and Jianxin Ma and Jin Xu and Jingren Zhou and Jinze Bai and Jinzheng He and Junyang Lin and Kai Dang and Keming Lu and Keqin Chen and Kexin Yang and Mei Li and Mingfeng Xue and Na Ni and Pei Zhang and Peng Wang and Ru Peng and Rui Men and Ruize Gao and Runji Lin and Shijie Wang and Shuai Bai and Sinan Tan and Tianhang Zhu and Tianhao Li and Tianyu Liu and Wenbin Ge and Xiaodong Deng and Xiaohuan Zhou and Xingzhang Ren and Xinyu Zhang and Xipin Wei and Xuancheng Ren and Yang Fan and Yang Yao and Yichang Zhang and Yu Wan and Yunfei Chu and Yuqiong Liu and Zeyu Cui and Zhenru Zhang and Zhihao Fan},
|
| 132 |
+
journal={arXiv preprint arXiv:2407.10671},
|
| 133 |
+
year={2024}
|
| 134 |
+
}
|
| 135 |
+
```
|
hf-models/Qwen/Qwen2.5-7B-Instruct/config.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
+
"architectures": [
|
| 3 |
+
"Qwen2ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"bos_token_id": 151643,
|
| 7 |
+
"eos_token_id": 151645,
|
| 8 |
+
"hidden_act": "silu",
|
| 9 |
+
"hidden_size": 3584,
|
| 10 |
+
"initializer_range": 0.02,
|
| 11 |
+
"intermediate_size": 18944,
|
| 12 |
+
"max_position_embeddings": 32768,
|
| 13 |
+
"max_window_layers": 28,
|
| 14 |
+
"model_type": "qwen2",
|
| 15 |
+
"num_attention_heads": 28,
|
| 16 |
+
"num_hidden_layers": 28,
|
| 17 |
+
"num_key_value_heads": 4,
|
| 18 |
+
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hf-models/Qwen/Qwen2.5-7B-Instruct/tokenizer.json
ADDED
|
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hf-models/Qwen/Qwen2.5-7B-Instruct/tokenizer_config.json
ADDED
|
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| 138 |
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|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
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"151660": {
|
| 142 |
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"content": "<|fim_middle|>",
|
| 143 |
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"lstrip": false,
|
| 144 |
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"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
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"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
| 199 |
+
"clean_up_tokenization_spaces": false,
|
| 200 |
+
"eos_token": "<|im_end|>",
|
| 201 |
+
"errors": "replace",
|
| 202 |
+
"model_max_length": 131072,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"split_special_tokens": false,
|
| 205 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 206 |
+
"unk_token": null
|
| 207 |
+
}
|
hf-models/Qwen/Qwen2.5-7B-Instruct/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
hf-models/liuhaotian/llava-v1.6-34b/README.md
ADDED
|
@@ -0,0 +1,49 @@
|
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|
| 1 |
+
---
|
| 2 |
+
inference: false
|
| 3 |
+
license: apache-2.0
|
| 4 |
+
library_name: LLaVA
|
| 5 |
+
pipeline_tag: image-text-to-text
|
| 6 |
+
tags:
|
| 7 |
+
- llava
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
<br>
|
| 11 |
+
<br>
|
| 12 |
+
|
| 13 |
+
# LLaVA Model Card
|
| 14 |
+
|
| 15 |
+
## Model details
|
| 16 |
+
|
| 17 |
+
**Model type:**
|
| 18 |
+
LLaVA is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following data.
|
| 19 |
+
It is an auto-regressive language model, based on the transformer architecture.
|
| 20 |
+
Base LLM: [NousResearch/Nous-Hermes-2-Yi-34B](https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B)
|
| 21 |
+
|
| 22 |
+
**Model date:**
|
| 23 |
+
LLaVA-v1.6-34B was trained in December 2023.
|
| 24 |
+
|
| 25 |
+
**Paper or resources for more information:**
|
| 26 |
+
https://llava-vl.github.io/
|
| 27 |
+
|
| 28 |
+
## License
|
| 29 |
+
[NousResearch/Nous-Hermes-2-Yi-34B](https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B) license.
|
| 30 |
+
|
| 31 |
+
**Where to send questions or comments about the model:**
|
| 32 |
+
https://github.com/haotian-liu/LLaVA/issues
|
| 33 |
+
|
| 34 |
+
## Intended use
|
| 35 |
+
**Primary intended uses:**
|
| 36 |
+
The primary use of LLaVA is research on large multimodal models and chatbots.
|
| 37 |
+
|
| 38 |
+
**Primary intended users:**
|
| 39 |
+
The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
|
| 40 |
+
|
| 41 |
+
## Training dataset
|
| 42 |
+
- 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
|
| 43 |
+
- 158K GPT-generated multimodal instruction-following data.
|
| 44 |
+
- 500K academic-task-oriented VQA data mixture.
|
| 45 |
+
- 50K GPT-4V data mixture.
|
| 46 |
+
- 40K ShareGPT data.
|
| 47 |
+
|
| 48 |
+
## Evaluation dataset
|
| 49 |
+
A collection of 12 benchmarks, including 5 academic VQA benchmarks and 7 recent benchmarks specifically proposed for instruction-following LMMs.
|
hf-models/liuhaotian/llava-v1.6-34b/config.json
ADDED
|
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "./checkpoints/Nous-Hermes-2-Yi-34B",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlavaLlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"attention_dropout": 0.0,
|
| 8 |
+
"bos_token_id": 1,
|
| 9 |
+
"eos_token_id": 7,
|
| 10 |
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"freeze_mm_mlp_adapter": false,
|
| 11 |
+
"freeze_mm_vision_resampler": false,
|
| 12 |
+
"hidden_act": "silu",
|
| 13 |
+
"hidden_size": 7168,
|
| 14 |
+
"image_aspect_ratio": "anyres",
|
| 15 |
+
"image_crop_resolution": 224,
|
| 16 |
+
"image_grid_pinpoints": [
|
| 17 |
+
[
|
| 18 |
+
336,
|
| 19 |
+
672
|
| 20 |
+
],
|
| 21 |
+
[
|
| 22 |
+
672,
|
| 23 |
+
336
|
| 24 |
+
],
|
| 25 |
+
[
|
| 26 |
+
672,
|
| 27 |
+
672
|
| 28 |
+
],
|
| 29 |
+
[
|
| 30 |
+
1008,
|
| 31 |
+
336
|
| 32 |
+
],
|
| 33 |
+
[
|
| 34 |
+
336,
|
| 35 |
+
1008
|
| 36 |
+
]
|
| 37 |
+
],
|
| 38 |
+
"image_split_resolution": 224,
|
| 39 |
+
"initializer_range": 0.02,
|
| 40 |
+
"intermediate_size": 20480,
|
| 41 |
+
"max_position_embeddings": 4096,
|
| 42 |
+
"mm_hidden_size": 1024,
|
| 43 |
+
"mm_patch_merge_type": "spatial_unpad",
|
| 44 |
+
"mm_projector_lr": null,
|
| 45 |
+
"mm_projector_type": "mlp2x_gelu",
|
| 46 |
+
"mm_resampler_type": null,
|
| 47 |
+
"mm_use_im_patch_token": false,
|
| 48 |
+
"mm_use_im_start_end": false,
|
| 49 |
+
"mm_vision_select_feature": "patch",
|
| 50 |
+
"mm_vision_select_layer": -2,
|
| 51 |
+
"mm_vision_tower": "openai/clip-vit-large-patch14-336",
|
| 52 |
+
"mm_vision_tower_lr": 2e-06,
|
| 53 |
+
"model_type": "llava",
|
| 54 |
+
"num_attention_heads": 56,
|
| 55 |
+
"num_hidden_layers": 60,
|
| 56 |
+
"num_key_value_heads": 8,
|
| 57 |
+
"pad_token_id": 0,
|
| 58 |
+
"pretraining_tp": 1,
|
| 59 |
+
"rms_norm_eps": 1e-05,
|
| 60 |
+
"rope_scaling": null,
|
| 61 |
+
"rope_theta": 5000000.0,
|
| 62 |
+
"tie_word_embeddings": false,
|
| 63 |
+
"tokenizer_model_max_length": 4096,
|
| 64 |
+
"tokenizer_padding_side": "right",
|
| 65 |
+
"torch_dtype": "bfloat16",
|
| 66 |
+
"transformers_version": "4.36.2",
|
| 67 |
+
"tune_mm_mlp_adapter": false,
|
| 68 |
+
"tune_mm_vision_resampler": false,
|
| 69 |
+
"unfreeze_mm_vision_tower": true,
|
| 70 |
+
"use_cache": true,
|
| 71 |
+
"use_mm_proj": true,
|
| 72 |
+
"vocab_size": 64000,
|
| 73 |
+
"image_token_index": 64002
|
| 74 |
+
}
|
hf-models/liuhaotian/llava-v1.6-34b/generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 1,
|
| 4 |
+
"eos_token_id": 7,
|
| 5 |
+
"pad_token_id": 0,
|
| 6 |
+
"transformers_version": "4.36.2"
|
| 7 |
+
}
|
hf-models/liuhaotian/llava-v1.6-34b/model-00002-of-00015.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:6e83b1c1bc201f3903ee671d70ff98d50f9dc4c38f16cedad5b635783bfdbdc6
|
| 3 |
+
size 4756459720
|
hf-models/liuhaotian/llava-v1.6-34b/model-00003-of-00015.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:88e4fd3c8aa341a11dc491720a89629d23a6a3dddfa581c7aaaa785919fb10cc
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size 4991370136
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hf-models/liuhaotian/llava-v1.6-34b/model-00005-of-00015.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 4756459760
|
hf-models/liuhaotian/llava-v1.6-34b/model-00009-of-00015.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:ad9df69367dea243e060167202d0e652825dc380abd6d47652f709bea2d647a8
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size 4991370160
|
hf-models/liuhaotian/llava-v1.6-34b/model-00012-of-00015.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 4991370160
|
hf-models/liuhaotian/llava-v1.6-34b/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,946 @@
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| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 69502332928
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
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"lm_head.weight": "model-00015-of-00015.safetensors",
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| 7 |
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"model.embed_tokens.weight": "model-00001-of-00015.safetensors",
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| 8 |
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"model.image_newline": "model-00001-of-00015.safetensors",
|
| 9 |
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"model.layers.0.input_layernorm.weight": "model-00001-of-00015.safetensors",
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| 10 |
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"model.layers.0.mlp.down_proj.weight": "model-00001-of-00015.safetensors",
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| 11 |
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"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00015.safetensors",
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| 12 |
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"model.layers.0.mlp.up_proj.weight": "model-00001-of-00015.safetensors",
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| 13 |
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"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00015.safetensors",
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}
|
| 946 |
+
}
|
hf-models/liuhaotian/llava-v1.6-34b/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|startoftext|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|im_end|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "<unk>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/README.md
ADDED
|
@@ -0,0 +1,252 @@
|
|
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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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|
|
|
|
|
|
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|
|
|
|
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|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
datasets:
|
| 3 |
+
- lmms-lab/LLaVA-OneVision-Data
|
| 4 |
+
- lmms-lab/LLaVA-Video-178K
|
| 5 |
+
language:
|
| 6 |
+
- en
|
| 7 |
+
library_name: transformers
|
| 8 |
+
license: apache-2.0
|
| 9 |
+
metrics:
|
| 10 |
+
- accuracy
|
| 11 |
+
tags:
|
| 12 |
+
- multimodal
|
| 13 |
+
pipeline_tag: video-text-to-text
|
| 14 |
+
model-index:
|
| 15 |
+
- name: LLaVA-Video-7B-Qwen2
|
| 16 |
+
results:
|
| 17 |
+
- task:
|
| 18 |
+
type: multimodal
|
| 19 |
+
dataset:
|
| 20 |
+
name: ActNet-QA
|
| 21 |
+
type: actnet-qa
|
| 22 |
+
metrics:
|
| 23 |
+
- type: accuracy
|
| 24 |
+
value: 56.5
|
| 25 |
+
name: accuracy
|
| 26 |
+
verified: true
|
| 27 |
+
- task:
|
| 28 |
+
type: multimodal
|
| 29 |
+
dataset:
|
| 30 |
+
name: EgoSchema
|
| 31 |
+
type: egoschema
|
| 32 |
+
metrics:
|
| 33 |
+
- type: accuracy
|
| 34 |
+
value: 57.3
|
| 35 |
+
name: accuracy
|
| 36 |
+
verified: true
|
| 37 |
+
- task:
|
| 38 |
+
type: multimodal
|
| 39 |
+
dataset:
|
| 40 |
+
name: MLVU
|
| 41 |
+
type: mlvu
|
| 42 |
+
metrics:
|
| 43 |
+
- type: accuracy
|
| 44 |
+
value: 70.8
|
| 45 |
+
name: accuracy
|
| 46 |
+
verified: true
|
| 47 |
+
- task:
|
| 48 |
+
type: multimodal
|
| 49 |
+
dataset:
|
| 50 |
+
name: MVBench
|
| 51 |
+
type: mvbench
|
| 52 |
+
metrics:
|
| 53 |
+
- type: accuracy
|
| 54 |
+
value: 58.6
|
| 55 |
+
name: accuracy
|
| 56 |
+
verified: true
|
| 57 |
+
- task:
|
| 58 |
+
type: multimodal
|
| 59 |
+
dataset:
|
| 60 |
+
name: NextQA
|
| 61 |
+
type: nextqa
|
| 62 |
+
metrics:
|
| 63 |
+
- type: accuracy
|
| 64 |
+
value: 83.2
|
| 65 |
+
name: accuracy
|
| 66 |
+
verified: true
|
| 67 |
+
- task:
|
| 68 |
+
type: multimodal
|
| 69 |
+
dataset:
|
| 70 |
+
name: PercepTest
|
| 71 |
+
type: percepTest
|
| 72 |
+
metrics:
|
| 73 |
+
- type: accuracy
|
| 74 |
+
value: 67.9
|
| 75 |
+
name: accuracy
|
| 76 |
+
verified: true
|
| 77 |
+
- task:
|
| 78 |
+
type: multimodal
|
| 79 |
+
dataset:
|
| 80 |
+
name: VideoChatGPT
|
| 81 |
+
type: videochatgpt
|
| 82 |
+
metrics:
|
| 83 |
+
- type: score
|
| 84 |
+
value: 3.52
|
| 85 |
+
name: score
|
| 86 |
+
verified: true
|
| 87 |
+
- task:
|
| 88 |
+
type: multimodal
|
| 89 |
+
dataset:
|
| 90 |
+
name: VideoDC
|
| 91 |
+
type: videodc
|
| 92 |
+
metrics:
|
| 93 |
+
- type: score
|
| 94 |
+
value: 3.66
|
| 95 |
+
name: score
|
| 96 |
+
verified: true
|
| 97 |
+
- task:
|
| 98 |
+
type: multimodal
|
| 99 |
+
dataset:
|
| 100 |
+
name: LongVideoBench
|
| 101 |
+
type: longvideobench
|
| 102 |
+
metrics:
|
| 103 |
+
- type: accuracy
|
| 104 |
+
value: 58.2
|
| 105 |
+
name: accuracy
|
| 106 |
+
verified: true
|
| 107 |
+
- task:
|
| 108 |
+
type: multimodal
|
| 109 |
+
dataset:
|
| 110 |
+
name: VideoMME
|
| 111 |
+
type: videomme
|
| 112 |
+
metrics:
|
| 113 |
+
- type: accuracy
|
| 114 |
+
value: 63.3
|
| 115 |
+
name: accuracy
|
| 116 |
+
verified: true
|
| 117 |
+
base_model:
|
| 118 |
+
- lmms-lab/llava-onevision-qwen2-7b-si
|
| 119 |
+
---
|
| 120 |
+
|
| 121 |
+
# LLaVA-Video-7B-Qwen2
|
| 122 |
+
|
| 123 |
+
## Table of Contents
|
| 124 |
+
|
| 125 |
+
1. [Model Summary](##model-summary)
|
| 126 |
+
2. [Use](##use)
|
| 127 |
+
3. [Limitations](##limitations)
|
| 128 |
+
4. [Training](##training)
|
| 129 |
+
5. [License](##license)
|
| 130 |
+
6. [Citation](##citation)
|
| 131 |
+
|
| 132 |
+
## Model Summary
|
| 133 |
+
|
| 134 |
+
The LLaVA-Video models are 7/72B parameter models trained on [LLaVA-Video-178K](https://huggingface.co/datasets/lmms-lab/LLaVA-Video-178K) and [LLaVA-OneVision Dataset](https://huggingface.co/datasets/lmms-lab/LLaVA-OneVision-Data), based on Qwen2 language model with a context window of 32K tokens.
|
| 135 |
+
|
| 136 |
+
This model support at most 64 frames.
|
| 137 |
+
|
| 138 |
+
- **Project Page:** [Project Page](https://llava-vl.github.io/blog/2024-09-30-llava-video/).
|
| 139 |
+
- **Paper**: For more details, please check our [paper](https://arxiv.org/abs/2410.02713)
|
| 140 |
+
- **Repository:** [LLaVA-VL/LLaVA-NeXT](https://github.com/LLaVA-VL/LLaVA-NeXT?tab=readme-ov-file)
|
| 141 |
+
- **Point of Contact:** [Yuanhan Zhang](https://zhangyuanhan-ai.github.io/)
|
| 142 |
+
- **Languages:** English, Chinese
|
| 143 |
+
|
| 144 |
+
|
| 145 |
+
## Use
|
| 146 |
+
|
| 147 |
+
### Intended use
|
| 148 |
+
|
| 149 |
+
The model was trained on [LLaVA-Video-178K](https://huggingface.co/datasets/lmms-lab/LLaVA-Video-178K) and [LLaVA-OneVision Dataset](https://huggingface.co/datasets/lmms-lab/LLaVA-OneVision-Data), having the ability to interact with images, multi-image and videos, but specific to videos.
|
| 150 |
+
|
| 151 |
+
|
| 152 |
+
|
| 153 |
+
**Feel free to share your generations in the Community tab!**
|
| 154 |
+
|
| 155 |
+
### Generation
|
| 156 |
+
|
| 157 |
+
We provide the simple generation process for using our model. For more details, you could refer to [Github](https://github.com/LLaVA-VL/LLaVA-NeXT).
|
| 158 |
+
|
| 159 |
+
```python
|
| 160 |
+
# pip install git+https://github.com/LLaVA-VL/LLaVA-NeXT.git
|
| 161 |
+
from llava.model.builder import load_pretrained_model
|
| 162 |
+
from llava.mm_utils import get_model_name_from_path, process_images, tokenizer_image_token
|
| 163 |
+
from llava.constants import IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN, IGNORE_INDEX
|
| 164 |
+
from llava.conversation import conv_templates, SeparatorStyle
|
| 165 |
+
from PIL import Image
|
| 166 |
+
import requests
|
| 167 |
+
import copy
|
| 168 |
+
import torch
|
| 169 |
+
import sys
|
| 170 |
+
import warnings
|
| 171 |
+
from decord import VideoReader, cpu
|
| 172 |
+
import numpy as np
|
| 173 |
+
warnings.filterwarnings("ignore")
|
| 174 |
+
def load_video(video_path, max_frames_num,fps=1,force_sample=False):
|
| 175 |
+
if max_frames_num == 0:
|
| 176 |
+
return np.zeros((1, 336, 336, 3))
|
| 177 |
+
vr = VideoReader(video_path, ctx=cpu(0),num_threads=1)
|
| 178 |
+
total_frame_num = len(vr)
|
| 179 |
+
video_time = total_frame_num / vr.get_avg_fps()
|
| 180 |
+
fps = round(vr.get_avg_fps()/fps)
|
| 181 |
+
frame_idx = [i for i in range(0, len(vr), fps)]
|
| 182 |
+
frame_time = [i/fps for i in frame_idx]
|
| 183 |
+
if len(frame_idx) > max_frames_num or force_sample:
|
| 184 |
+
sample_fps = max_frames_num
|
| 185 |
+
uniform_sampled_frames = np.linspace(0, total_frame_num - 1, sample_fps, dtype=int)
|
| 186 |
+
frame_idx = uniform_sampled_frames.tolist()
|
| 187 |
+
frame_time = [i/vr.get_avg_fps() for i in frame_idx]
|
| 188 |
+
frame_time = ",".join([f"{i:.2f}s" for i in frame_time])
|
| 189 |
+
spare_frames = vr.get_batch(frame_idx).asnumpy()
|
| 190 |
+
# import pdb;pdb.set_trace()
|
| 191 |
+
return spare_frames,frame_time,video_time
|
| 192 |
+
pretrained = "lmms-lab/LLaVA-Video-7B-Qwen2"
|
| 193 |
+
model_name = "llava_qwen"
|
| 194 |
+
device = "cuda"
|
| 195 |
+
device_map = "auto"
|
| 196 |
+
tokenizer, model, image_processor, max_length = load_pretrained_model(pretrained, None, model_name, torch_dtype="bfloat16", device_map=device_map) # Add any other thing you want to pass in llava_model_args
|
| 197 |
+
model.eval()
|
| 198 |
+
video_path = "XXXX"
|
| 199 |
+
max_frames_num = 64
|
| 200 |
+
video,frame_time,video_time = load_video(video_path, max_frames_num, 1, force_sample=True)
|
| 201 |
+
video = image_processor.preprocess(video, return_tensors="pt")["pixel_values"].cuda().half()
|
| 202 |
+
video = [video]
|
| 203 |
+
conv_template = "qwen_1_5" # Make sure you use correct chat template for different models
|
| 204 |
+
time_instruciton = f"The video lasts for {video_time:.2f} seconds, and {len(video[0])} frames are uniformly sampled from it. These frames are located at {frame_time}.Please answer the following questions related to this video."
|
| 205 |
+
question = DEFAULT_IMAGE_TOKEN + f"\n{time_instruciton}\nPlease describe this video in detail."
|
| 206 |
+
conv = copy.deepcopy(conv_templates[conv_template])
|
| 207 |
+
conv.append_message(conv.roles[0], question)
|
| 208 |
+
conv.append_message(conv.roles[1], None)
|
| 209 |
+
prompt_question = conv.get_prompt()
|
| 210 |
+
input_ids = tokenizer_image_token(prompt_question, tokenizer, IMAGE_TOKEN_INDEX, return_tensors="pt").unsqueeze(0).to(device)
|
| 211 |
+
cont = model.generate(
|
| 212 |
+
input_ids,
|
| 213 |
+
images=video,
|
| 214 |
+
modalities= ["video"],
|
| 215 |
+
do_sample=False,
|
| 216 |
+
temperature=0,
|
| 217 |
+
max_new_tokens=4096,
|
| 218 |
+
)
|
| 219 |
+
text_outputs = tokenizer.batch_decode(cont, skip_special_tokens=True)[0].strip()
|
| 220 |
+
print(text_outputs)
|
| 221 |
+
```
|
| 222 |
+
|
| 223 |
+
|
| 224 |
+
# Training
|
| 225 |
+
|
| 226 |
+
## Model
|
| 227 |
+
|
| 228 |
+
- **Architecture:** SO400M + Qwen2
|
| 229 |
+
- **Initialized Model:** lmms-lab/llava-onevision-qwen2-7b-si
|
| 230 |
+
- **Data:** A mixture of 1.6M single-image/multi-image/video data, 1 epoch, full model
|
| 231 |
+
- **Precision:** bfloat16
|
| 232 |
+
|
| 233 |
+
## Hardware & Software
|
| 234 |
+
|
| 235 |
+
- **GPUs:** 256 * Nvidia Tesla A100 (for whole model series training)
|
| 236 |
+
- **Orchestration:** [Huggingface Trainer](https://huggingface.co/docs/transformers/main_classes/trainer)
|
| 237 |
+
- **Neural networks:** [PyTorch](https://github.com/pytorch/pytorch)
|
| 238 |
+
|
| 239 |
+
# Citation
|
| 240 |
+
|
| 241 |
+
```bibtex
|
| 242 |
+
|
| 243 |
+
@misc{zhang2024videoinstructiontuningsynthetic,
|
| 244 |
+
title={Video Instruction Tuning With Synthetic Data},
|
| 245 |
+
author={Yuanhan Zhang and Jinming Wu and Wei Li and Bo Li and Zejun Ma and Ziwei Liu and Chunyuan Li},
|
| 246 |
+
year={2024},
|
| 247 |
+
eprint={2410.02713},
|
| 248 |
+
archivePrefix={arXiv},
|
| 249 |
+
primaryClass={cs.CV},
|
| 250 |
+
url={https://arxiv.org/abs/2410.02713},
|
| 251 |
+
}
|
| 252 |
+
```
|
hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/added_tokens.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<image>": 151646,
|
| 3 |
+
"<|endoftext|>": 151643,
|
| 4 |
+
"<|im_end|>": 151645,
|
| 5 |
+
"<|im_start|>": 151644
|
| 6 |
+
}
|
hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/config.json
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "/mnt/bn/vl-research/checkpoints/onevision/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-mid_to_final_next_2p4m_am9",
|
| 3 |
+
"add_time_instruction": true,
|
| 4 |
+
"add_faster_video": false,
|
| 5 |
+
"architectures": [
|
| 6 |
+
"LlavaQwenForCausalLM"
|
| 7 |
+
],
|
| 8 |
+
"attention_dropout": 0.0,
|
| 9 |
+
"bos_token_id": 151643,
|
| 10 |
+
"eos_token_id": 151645,
|
| 11 |
+
"force_sample": true,
|
| 12 |
+
"hidden_act": "silu",
|
| 13 |
+
"hidden_size": 3584,
|
| 14 |
+
"image_aspect_ratio": "anyres_max_9",
|
| 15 |
+
"image_crop_resolution": null,
|
| 16 |
+
"image_grid_pinpoints": [
|
| 17 |
+
[
|
| 18 |
+
384,
|
| 19 |
+
384
|
| 20 |
+
],
|
| 21 |
+
[
|
| 22 |
+
384,
|
| 23 |
+
768
|
| 24 |
+
],
|
| 25 |
+
[
|
| 26 |
+
384,
|
| 27 |
+
1152
|
| 28 |
+
],
|
| 29 |
+
[
|
| 30 |
+
384,
|
| 31 |
+
1536
|
| 32 |
+
],
|
| 33 |
+
[
|
| 34 |
+
384,
|
| 35 |
+
1920
|
| 36 |
+
],
|
| 37 |
+
[
|
| 38 |
+
384,
|
| 39 |
+
2304
|
| 40 |
+
],
|
| 41 |
+
[
|
| 42 |
+
768,
|
| 43 |
+
384
|
| 44 |
+
],
|
| 45 |
+
[
|
| 46 |
+
768,
|
| 47 |
+
768
|
| 48 |
+
],
|
| 49 |
+
[
|
| 50 |
+
768,
|
| 51 |
+
1152
|
| 52 |
+
],
|
| 53 |
+
[
|
| 54 |
+
768,
|
| 55 |
+
1536
|
| 56 |
+
],
|
| 57 |
+
[
|
| 58 |
+
768,
|
| 59 |
+
1920
|
| 60 |
+
],
|
| 61 |
+
[
|
| 62 |
+
768,
|
| 63 |
+
2304
|
| 64 |
+
],
|
| 65 |
+
[
|
| 66 |
+
1152,
|
| 67 |
+
384
|
| 68 |
+
],
|
| 69 |
+
[
|
| 70 |
+
1152,
|
| 71 |
+
768
|
| 72 |
+
],
|
| 73 |
+
[
|
| 74 |
+
1152,
|
| 75 |
+
1152
|
| 76 |
+
],
|
| 77 |
+
[
|
| 78 |
+
1152,
|
| 79 |
+
1536
|
| 80 |
+
],
|
| 81 |
+
[
|
| 82 |
+
1152,
|
| 83 |
+
1920
|
| 84 |
+
],
|
| 85 |
+
[
|
| 86 |
+
1152,
|
| 87 |
+
2304
|
| 88 |
+
],
|
| 89 |
+
[
|
| 90 |
+
1536,
|
| 91 |
+
384
|
| 92 |
+
],
|
| 93 |
+
[
|
| 94 |
+
1536,
|
| 95 |
+
768
|
| 96 |
+
],
|
| 97 |
+
[
|
| 98 |
+
1536,
|
| 99 |
+
1152
|
| 100 |
+
],
|
| 101 |
+
[
|
| 102 |
+
1536,
|
| 103 |
+
1536
|
| 104 |
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],
|
| 105 |
+
[
|
| 106 |
+
1536,
|
| 107 |
+
1920
|
| 108 |
+
],
|
| 109 |
+
[
|
| 110 |
+
1536,
|
| 111 |
+
2304
|
| 112 |
+
],
|
| 113 |
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[
|
| 114 |
+
1920,
|
| 115 |
+
384
|
| 116 |
+
],
|
| 117 |
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[
|
| 118 |
+
1920,
|
| 119 |
+
768
|
| 120 |
+
],
|
| 121 |
+
[
|
| 122 |
+
1920,
|
| 123 |
+
1152
|
| 124 |
+
],
|
| 125 |
+
[
|
| 126 |
+
1920,
|
| 127 |
+
1536
|
| 128 |
+
],
|
| 129 |
+
[
|
| 130 |
+
1920,
|
| 131 |
+
1920
|
| 132 |
+
],
|
| 133 |
+
[
|
| 134 |
+
1920,
|
| 135 |
+
2304
|
| 136 |
+
],
|
| 137 |
+
[
|
| 138 |
+
2304,
|
| 139 |
+
384
|
| 140 |
+
],
|
| 141 |
+
[
|
| 142 |
+
2304,
|
| 143 |
+
768
|
| 144 |
+
],
|
| 145 |
+
[
|
| 146 |
+
2304,
|
| 147 |
+
1152
|
| 148 |
+
],
|
| 149 |
+
[
|
| 150 |
+
2304,
|
| 151 |
+
1536
|
| 152 |
+
],
|
| 153 |
+
[
|
| 154 |
+
2304,
|
| 155 |
+
1920
|
| 156 |
+
],
|
| 157 |
+
[
|
| 158 |
+
2304,
|
| 159 |
+
2304
|
| 160 |
+
]
|
| 161 |
+
],
|
| 162 |
+
"image_split_resolution": null,
|
| 163 |
+
"initializer_range": 0.02,
|
| 164 |
+
"intermediate_size": 18944,
|
| 165 |
+
"max_position_embeddings": 32768,
|
| 166 |
+
"image_token_index": 151646,
|
| 167 |
+
"max_window_layers": 28,
|
| 168 |
+
"mm_hidden_size": 1152,
|
| 169 |
+
"mm_newline_position": "grid",
|
| 170 |
+
"mm_patch_merge_type": "spatial_unpad",
|
| 171 |
+
"mm_projector_lr": null,
|
| 172 |
+
"mm_projector_type": "mlp2x_gelu",
|
| 173 |
+
"mm_resampler_type": null,
|
| 174 |
+
"mm_spatial_pool_mode": "bilinear",
|
| 175 |
+
"mm_tunable_parts": "mm_vision_tower,mm_mlp_adapter,mm_language_model",
|
| 176 |
+
"mm_use_im_patch_token": false,
|
| 177 |
+
"mm_use_im_start_end": false,
|
| 178 |
+
"mm_vision_select_feature": "patch",
|
| 179 |
+
"mm_vision_select_layer": -2,
|
| 180 |
+
"mm_vision_tower": "google/siglip-so400m-patch14-384",
|
| 181 |
+
"mm_vision_tower_lr": 2e-06,
|
| 182 |
+
"model_type": "llava",
|
| 183 |
+
"num_attention_heads": 28,
|
| 184 |
+
"num_hidden_layers": 28,
|
| 185 |
+
"num_key_value_heads": 4,
|
| 186 |
+
"pos_skipping_range": 4096,
|
| 187 |
+
"rms_norm_eps": 1e-06,
|
| 188 |
+
"rope_scaling": null,
|
| 189 |
+
"rope_theta": 1000000.0,
|
| 190 |
+
"sliding_window": 131072,
|
| 191 |
+
"tie_word_embeddings": false,
|
| 192 |
+
"tokenizer_model_max_length": 32768,
|
| 193 |
+
"tokenizer_padding_side": "right",
|
| 194 |
+
"torch_dtype": "bfloat16",
|
| 195 |
+
"transformers_version": "4.40.0.dev0",
|
| 196 |
+
"use_cache": true,
|
| 197 |
+
"use_mm_proj": true,
|
| 198 |
+
"use_pos_skipping": false,
|
| 199 |
+
"use_sliding_window": false,
|
| 200 |
+
"vision_tower_pretrained": null,
|
| 201 |
+
"vocab_size": 152064
|
| 202 |
+
}
|
hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"repetition_penalty": 1.05,
|
| 10 |
+
"temperature": 0.7,
|
| 11 |
+
"top_k": 20,
|
| 12 |
+
"top_p": 0.8,
|
| 13 |
+
"transformers_version": "4.40.0.dev0"
|
| 14 |
+
}
|
hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/model-00003-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:94aca0e44c71e4640b40cdbadd995a234937168c72c552e0d2d13036ca96cc68
|
| 3 |
+
size 4994571904
|
hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/model-00004-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3cbb8d7cfb44f868dd672a11b677dadcbde5428dc744a23f4393508aaeb1f22d
|
| 3 |
+
size 1255812224
|
hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,772 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
|
|
|
|
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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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|
hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/preprocessor_config.json
ADDED
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| 1 |
+
{
|
| 2 |
+
"do_convert_rgb": null,
|
| 3 |
+
"do_normalize": true,
|
| 4 |
+
"do_rescale": true,
|
| 5 |
+
"do_resize": true,
|
| 6 |
+
"image_mean": [
|
| 7 |
+
0.5,
|
| 8 |
+
0.5,
|
| 9 |
+
0.5
|
| 10 |
+
],
|
| 11 |
+
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|
| 12 |
+
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|
| 13 |
+
0.5,
|
| 14 |
+
0.5,
|
| 15 |
+
0.5
|
| 16 |
+
],
|
| 17 |
+
"processor_class": "LlavaProcessor",
|
| 18 |
+
"resample": 3,
|
| 19 |
+
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|
| 20 |
+
"size": {
|
| 21 |
+
"height": 384,
|
| 22 |
+
"width": 384
|
| 23 |
+
}
|
| 24 |
+
}
|
hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/special_tokens_map.json
ADDED
|
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+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
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|
| 5 |
+
],
|
| 6 |
+
"eos_token": {
|
| 7 |
+
"content": "<|im_end|>",
|
| 8 |
+
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
+
},
|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
+
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|
| 17 |
+
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|
| 18 |
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|
| 19 |
+
}
|
| 20 |
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|
hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/tokenizer.json
ADDED
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hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/tokenizer_config.json
ADDED
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"151643": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"151644": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"151645": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"151646": {
|
| 29 |
+
"content": "<image>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
}
|
| 36 |
+
},
|
| 37 |
+
"additional_special_tokens": [
|
| 38 |
+
"<|im_start|>",
|
| 39 |
+
"<|im_end|>"
|
| 40 |
+
],
|
| 41 |
+
"bos_token": null,
|
| 42 |
+
"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 %}",
|
| 43 |
+
"clean_up_tokenization_spaces": false,
|
| 44 |
+
"eos_token": "<|im_end|>",
|
| 45 |
+
"errors": "replace",
|
| 46 |
+
"model_max_length": 32768,
|
| 47 |
+
"pad_token": "<|endoftext|>",
|
| 48 |
+
"padding_side": "right",
|
| 49 |
+
"processor_class": "LlavaProcessor",
|
| 50 |
+
"split_special_tokens": false,
|
| 51 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 52 |
+
"unk_token": null
|
| 53 |
+
}
|
hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
hf-models/lmms-lab/LLaVA-Video-7B-Qwen2/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
hf-models/openai/clip-vit-base-patch16/README.md
ADDED
|
@@ -0,0 +1,126 @@
|
|
|
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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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|
|
|
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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 |
+
tags:
|
| 3 |
+
- vision
|
| 4 |
+
widget:
|
| 5 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png
|
| 6 |
+
candidate_labels: playing music, playing sports
|
| 7 |
+
example_title: Cat & Dog
|
| 8 |
+
---
|
| 9 |
+
# Model Card: CLIP
|
| 10 |
+
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found [here](https://github.com/openai/CLIP/blob/main/model-card.md).
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
## Model Details
|
| 14 |
+
The CLIP model was developed by researchers at OpenAI to learn about what contributes to robustness in computer vision tasks. The model was also developed to test the ability of models to generalize to arbitrary image classification tasks in a zero-shot manner. It was not developed for general model deployment - to deploy models like CLIP, researchers will first need to carefully study their capabilities in relation to the specific context they’re being deployed within.
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
### Model Date
|
| 18 |
+
January 2021
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
### Model Type
|
| 22 |
+
The base model uses a ViT-B/16 Transformer architecture as an image encoder and uses a masked self-attention Transformer as a text encoder. These encoders are trained to maximize the similarity of (image, text) pairs via a contrastive loss.
|
| 23 |
+
|
| 24 |
+
The original implementation had two variants: one using a ResNet image encoder and the other using a Vision Transformer. This repository has the variant with the Vision Transformer.
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
### Documents
|
| 28 |
+
- [Blog Post](https://openai.com/blog/clip/)
|
| 29 |
+
- [CLIP Paper](https://arxiv.org/abs/2103.00020)
|
| 30 |
+
|
| 31 |
+
|
| 32 |
+
### Use with Transformers
|
| 33 |
+
```python3
|
| 34 |
+
from PIL import Image
|
| 35 |
+
import requests
|
| 36 |
+
from transformers import CLIPProcessor, CLIPModel
|
| 37 |
+
model = CLIPModel.from_pretrained("openai/clip-vit-base-patch16")
|
| 38 |
+
processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch16")
|
| 39 |
+
url = "http://images.cocodataset.org/val2017/000000039769.jpg"
|
| 40 |
+
image = Image.open(requests.get(url, stream=True).raw)
|
| 41 |
+
inputs = processor(text=["a photo of a cat", "a photo of a dog"], images=image, return_tensors="pt", padding=True)
|
| 42 |
+
outputs = model(**inputs)
|
| 43 |
+
logits_per_image = outputs.logits_per_image # this is the image-text similarity score
|
| 44 |
+
probs = logits_per_image.softmax(dim=1) # we can take the softmax to get the label probabilities
|
| 45 |
+
```
|
| 46 |
+
|
| 47 |
+
|
| 48 |
+
## Model Use
|
| 49 |
+
|
| 50 |
+
### Intended Use
|
| 51 |
+
The model is intended as a research output for research communities. We hope that this model will enable researchers to better understand and explore zero-shot, arbitrary image classification. We also hope it can be used for interdisciplinary studies of the potential impact of such models - the CLIP paper includes a discussion of potential downstream impacts to provide an example for this sort of analysis.
|
| 52 |
+
|
| 53 |
+
|
| 54 |
+
#### Primary intended uses
|
| 55 |
+
The primary intended users of these models are AI researchers.
|
| 56 |
+
We primarily imagine the model will be used by researchers to better understand robustness, generalization, and other capabilities, biases, and constraints of computer vision models.
|
| 57 |
+
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use Cases
|
| 60 |
+
**Any** deployed use case of the model - whether commercial or not - is currently out of scope. Non-deployed use cases such as image search in a constrained environment, are also not recommended unless there is thorough in-domain testing of the model with a specific, fixed class taxonomy. This is because our safety assessment demonstrated a high need for task specific testing especially given the variability of CLIP’s performance with different class taxonomies. This makes untested and unconstrained deployment of the model in any use case currently potentially harmful.
|
| 61 |
+
Certain use cases which would fall under the domain of surveillance and facial recognition are always out-of-scope regardless of performance of the model. This is because the use of artificial intelligence for tasks such as these can be premature currently given the lack of testing norms and checks to ensure its fair use.
|
| 62 |
+
Since the model has not been purposefully trained in or evaluated on any languages other than English, its use should be limited to English language use cases.
|
| 63 |
+
|
| 64 |
+
|
| 65 |
+
## Data
|
| 66 |
+
The model was trained on publicly available image-caption data. This was done through a combination of crawling a handful of websites and using commonly-used pre-existing image datasets such as [YFCC100M](http://projects.dfki.uni-kl.de/yfcc100m/). A large portion of the data comes from our crawling of the internet. This means that the data is more representative of people and societies most connected to the internet which tend to skew towards more developed nations, and younger, male users.
|
| 67 |
+
|
| 68 |
+
|
| 69 |
+
### Data Mission Statement
|
| 70 |
+
Our goal with building this dataset was to test out robustness and generalizability in computer vision tasks. As a result, the focus was on gathering large quantities of data from different publicly-available internet data sources. The data was gathered in a mostly non-interventionist manner. However, we only crawled websites that had policies against excessively violent and adult images and allowed us to filter out such content. We do not intend for this dataset to be used as the basis for any commercial or deployed model and will not be releasing the dataset.
|
| 71 |
+
|
| 72 |
+
|
| 73 |
+
## Performance and Limitations
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
### Performance
|
| 77 |
+
We have evaluated the performance of CLIP on a wide range of benchmarks across a variety of computer vision datasets such as OCR to texture recognition to fine-grained classification. The paper describes model performance on the following datasets:
|
| 78 |
+
- Food101
|
| 79 |
+
- CIFAR10
|
| 80 |
+
- CIFAR100
|
| 81 |
+
- Birdsnap
|
| 82 |
+
- SUN397
|
| 83 |
+
- Stanford Cars
|
| 84 |
+
- FGVC Aircraft
|
| 85 |
+
- VOC2007
|
| 86 |
+
- DTD
|
| 87 |
+
- Oxford-IIIT Pet dataset
|
| 88 |
+
- Caltech101
|
| 89 |
+
- Flowers102
|
| 90 |
+
- MNIST
|
| 91 |
+
- SVHN
|
| 92 |
+
- IIIT5K
|
| 93 |
+
- Hateful Memes
|
| 94 |
+
- SST-2
|
| 95 |
+
- UCF101
|
| 96 |
+
- Kinetics700
|
| 97 |
+
- Country211
|
| 98 |
+
- CLEVR Counting
|
| 99 |
+
- KITTI Distance
|
| 100 |
+
- STL-10
|
| 101 |
+
- RareAct
|
| 102 |
+
- Flickr30
|
| 103 |
+
- MSCOCO
|
| 104 |
+
- ImageNet
|
| 105 |
+
- ImageNet-A
|
| 106 |
+
- ImageNet-R
|
| 107 |
+
- ImageNet Sketch
|
| 108 |
+
- ObjectNet (ImageNet Overlap)
|
| 109 |
+
- Youtube-BB
|
| 110 |
+
- ImageNet-Vid
|
| 111 |
+
|
| 112 |
+
|
| 113 |
+
## Limitations
|
| 114 |
+
CLIP and our analysis of it have a number of limitations. CLIP currently struggles with respect to certain tasks such as fine grained classification and counting objects. CLIP also poses issues with regards to fairness and bias which we discuss in the paper and briefly in the next section. Additionally, our approach to testing CLIP also has an important limitation- in many cases we have used linear probes to evaluate the performance of CLIP and there is evidence suggesting that linear probes can underestimate model performance.
|
| 115 |
+
|
| 116 |
+
|
| 117 |
+
### Bias and Fairness
|
| 118 |
+
We find that the performance of CLIP - and the specific biases it exhibits - can depend significantly on class design and the choices one makes for categories to include and exclude. We tested the risk of certain kinds of denigration with CLIP by classifying images of people from [Fairface](https://arxiv.org/abs/1908.04913) into crime-related and non-human animal categories. We found significant disparities with respect to race and gender. Additionally, we found that these disparities could shift based on how the classes were constructed. (Details captured in the Broader Impacts Section in the paper).
|
| 119 |
+
We also tested the performance of CLIP on gender, race and age classification using the Fairface dataset (We default to using race categories as they are constructed in the Fairface dataset.) in order to assess quality of performance across different demographics. We found accuracy >96% across all races for gender classification with ‘Middle Eastern’ having the highest accuracy (98.4%) and ‘White’ having the lowest (96.5%). Additionally, CLIP averaged ~93% for racial classification and ~63% for age classification. Our use of evaluations to test for gender, race and age classification as well as denigration harms is simply to evaluate performance of the model across people and surface potential risks and not to demonstrate an endorsement/enthusiasm for such tasks.
|
| 120 |
+
|
| 121 |
+
|
| 122 |
+
## Feedback
|
| 123 |
+
|
| 124 |
+
|
| 125 |
+
### Where to send questions or comments about the model
|
| 126 |
+
Please use [this Google Form](https://forms.gle/Uv7afRH5dvY34ZEs9)
|
hf-models/openai/clip-vit-base-patch16/config.json
ADDED
|
@@ -0,0 +1,157 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"CLIPModel"
|
| 4 |
+
],
|
| 5 |
+
"initializer_factor": 1.0,
|
| 6 |
+
"logit_scale_init_value": 2.6592,
|
| 7 |
+
"model_type": "clip",
|
| 8 |
+
"projection_dim": 512,
|
| 9 |
+
"text_config": {
|
| 10 |
+
"_name_or_path": "",
|
| 11 |
+
"add_cross_attention": false,
|
| 12 |
+
"architectures": null,
|
| 13 |
+
"attention_dropout": 0.0,
|
| 14 |
+
"bad_words_ids": null,
|
| 15 |
+
"bos_token_id": 0,
|
| 16 |
+
"chunk_size_feed_forward": 0,
|
| 17 |
+
"decoder_start_token_id": null,
|
| 18 |
+
"diversity_penalty": 0.0,
|
| 19 |
+
"do_sample": false,
|
| 20 |
+
"dropout": 0.0,
|
| 21 |
+
"early_stopping": false,
|
| 22 |
+
"encoder_no_repeat_ngram_size": 0,
|
| 23 |
+
"eos_token_id": 2,
|
| 24 |
+
"finetuning_task": null,
|
| 25 |
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ADDED
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