Upload folder using huggingface_hub
Browse files- .gitattributes +4 -0
- README.md +122 -0
- model_index.json +24 -0
- scheduler/scheduler_config.json +7 -0
- teaser.jpg +3 -0
- text_encoder/0.safetensors +3 -0
- text_encoder/1.safetensors +3 -0
- text_encoder/config.json +30 -0
- text_encoder/generation_config.json +13 -0
- text_encoder/model.safetensors.index.json +405 -0
- tokenizer/chat_template.jinja +89 -0
- tokenizer/merges.txt +0 -0
- tokenizer/tokenizer.json +3 -0
- tokenizer/tokenizer_config.json +239 -0
- tokenizer/vocab.json +0 -0
- transformer/0.safetensors +3 -0
- transformer/1.safetensors +3 -0
- transformer/2.safetensors +3 -0
- transformer/3.safetensors +3 -0
- transformer/config.json +32 -0
- transformer/diffusion_pytorch_model.safetensors.index.json +528 -0
- transformer/model.safetensors.index.json +1081 -0
- vae/0.safetensors +3 -0
- vae/config.json +38 -0
- vae/model.safetensors.index.json +268 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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Z-Image/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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assets/z-image.png filter=lfs diff=lfs merge=lfs -text
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teaser.jpg filter=lfs diff=lfs merge=lfs -text
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README.md
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| 1 |
+
---
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| 2 |
+
license: apache-2.0
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| 3 |
+
language:
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| 4 |
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- en
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| 5 |
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pipeline_tag: text-to-image
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| 6 |
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library_name: diffusers
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| 7 |
+
---
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| 8 |
+
|
| 9 |
+
<h1 align="center">⚡️- Image<br><sub><sup>An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer</sup></sub></h1>
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| 10 |
+
|
| 11 |
+
<div align="center">
|
| 12 |
+
|
| 13 |
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[](https://tongyi-mai.github.io/Z-Image-blog/) 
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| 14 |
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[](https://github.com/Tongyi-MAI/Z-Image) 
|
| 15 |
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[](https://huggingface.co/Tongyi-MAI/Z-Image) 
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| 16 |
+
[](https://huggingface.co/spaces/Tongyi-MAI/Z-Image) 
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| 17 |
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[](https://www.modelscope.cn/models/Tongyi-MAI/Z-Image) 
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| 18 |
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[](https://www.modelscope.cn/aigc/imageGeneration?tab=advanced&versionId=569345&modelType=Checkpoint&sdVersion=Z_IMAGE&modelUrl=modelscope%3A%2F%2FTongyi-MAI%2FZ-Image%3Frevision%3Dmaster) 
|
| 19 |
+
<a href="https://arxiv.org/abs/2511.22699" target="_blank"><img src="https://img.shields.io/badge/Report-b5212f.svg?logo=arxiv" height="21px"></a>
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| 20 |
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| 21 |
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Welcome to the official repository for the Z-Image（造相）project!
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| 22 |
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| 23 |
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</div>
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| 24 |
+
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| 25 |
+
## 🎨 Z-Image
|
| 26 |
+
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| 27 |
+
|
| 28 |
+
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| 29 |
+
|
| 30 |
+
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| 31 |
+
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| 32 |
+
**Z-Image** is the foundation model of the ⚡️- Image family, engineered for good quality, robust generative diversity, broad stylistic coverage, and precise prompt adherence.
|
| 33 |
+
While Z-Image-Turbo is built for speed,
|
| 34 |
+
Z-Image is a full-capacity, undistilled transformer designed to be the backbone for creators, researchers, and developers who require the highest level of creative freedom.
|
| 35 |
+
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
### 🌟 Key Features
|
| 39 |
+
|
| 40 |
+
- **Undistilled Foundation**: As a non-distilled base model, Z-Image preserves the complete training signal. It supports full Classifier-Free Guidance (CFG), providing the precision required for complex prompt engineering and professional workflows.
|
| 41 |
+
- **Aesthetic Versatility**: Z-Image masters a vast spectrum of visual languages—from hyper-realistic photography and cinematic digital art to intricate anime and stylized illustrations. It is the ideal engine for scenarios requiring rich, multi-dimensional expression.
|
| 42 |
+
- **Enhanced Output Diversity**: Built for exploration, Z-Image delivers significantly higher variability in composition, facial identity, and lighting across different seeds, ensuring that multi-person scenes remain distinct and dynamic.
|
| 43 |
+
- **Built for Development**: The ideal starting point for the community. Its non-distilled nature makes it a good base for LoRA training, structural conditioning (ControlNet) and semantic conditioning.
|
| 44 |
+
- **Robust Negative Control**: Responds with high fidelity to negative prompting, allowing users to reliably suppress artifacts and adjust compositions.
|
| 45 |
+
|
| 46 |
+
### 🆚 Z-Image vs Z-Image-Turbo
|
| 47 |
+
|
| 48 |
+
| Aspect | Z-Image | Z-Image-Turbo |
|
| 49 |
+
|------|------|------|
|
| 50 |
+
| CFG | ✅ | ❌ |
|
| 51 |
+
| Steps | 28~50 | 8 |
|
| 52 |
+
| Fintunablity | ✅ | ❌ |
|
| 53 |
+
| Negative Prompting | ✅ | ❌ |
|
| 54 |
+
| Diversity | High | Low |
|
| 55 |
+
| Visual Quality | High | Very High |
|
| 56 |
+
| RL | ❌ | ✅ |
|
| 57 |
+
|
| 58 |
+
## 🚀 Quick Start
|
| 59 |
+
|
| 60 |
+
### Installation & Download
|
| 61 |
+
|
| 62 |
+
Install the latest version of diffusers:
|
| 63 |
+
```bash
|
| 64 |
+
pip install git+https://github.com/huggingface/diffusers
|
| 65 |
+
```
|
| 66 |
+
|
| 67 |
+
Download the model:
|
| 68 |
+
```bash
|
| 69 |
+
pip install -U huggingface_hub
|
| 70 |
+
HF_XET_HIGH_PERFORMANCE=1 hf download Tongyi-MAI/Z-Image
|
| 71 |
+
```
|
| 72 |
+
|
| 73 |
+
### Recommended Parameters
|
| 74 |
+
|
| 75 |
+
- **Resolution:** 512×512 to 2048×2048 (total pixel area, any aspect ratio)
|
| 76 |
+
- **Guidance scale:** 3.0 – 5.0
|
| 77 |
+
- **Inference steps:** 28 – 50
|
| 78 |
+
|
| 79 |
+
### Usage Example
|
| 80 |
+
|
| 81 |
+
```python
|
| 82 |
+
import torch
|
| 83 |
+
from diffusers import ZImagePipeline
|
| 84 |
+
|
| 85 |
+
# Load the pipeline
|
| 86 |
+
pipe = ZImagePipeline.from_pretrained(
|
| 87 |
+
"Tongyi-MAI/Z-Image",
|
| 88 |
+
torch_dtype=torch.bfloat16,
|
| 89 |
+
low_cpu_mem_usage=False,
|
| 90 |
+
)
|
| 91 |
+
pipe.to("cuda")
|
| 92 |
+
|
| 93 |
+
# Generate image
|
| 94 |
+
prompt = "两名年轻亚裔女性紧密站在一起，背景为朴素的灰色纹理墙面，可能是室内地毯地面。左侧女性留着长卷发，身穿藏青色毛衣，左袖有奶油色褶皱装饰，内搭白色立领衬衫，下身白色裤子；佩戴小巧金色耳钉，双臂交叉于背后。右侧女性留直肩长发，身穿奶油色卫衣，胸前印有“Tun the tables”字样，下方为“New ideas”，搭配白色裤子；佩戴银色小���耳环，双臂交叉于胸前。两人均面带微笑直视镜头。照片，自然光照明，柔和阴影，以藏青、奶油白为主的中性色调，休闲时尚摄影，中等景深，面部和上半身对焦清晰，姿态放松，表情友好，室内环境，地毯地面，纯色背景。"
|
| 95 |
+
negative_prompt = "" # Optional, but would be powerful when you want to remove some unwanted content
|
| 96 |
+
|
| 97 |
+
image = pipe(
|
| 98 |
+
prompt=prompt,
|
| 99 |
+
negative_prompt=negative_prompt,
|
| 100 |
+
height=1280,
|
| 101 |
+
width=720,
|
| 102 |
+
cfg_normalization=False,
|
| 103 |
+
num_inference_steps=50,
|
| 104 |
+
guidance_scale=4,
|
| 105 |
+
generator=torch.Generator("cuda").manual_seed(42),
|
| 106 |
+
).images[0]
|
| 107 |
+
|
| 108 |
+
image.save("example.png")
|
| 109 |
+
```
|
| 110 |
+
|
| 111 |
+
## 📜 Citation
|
| 112 |
+
|
| 113 |
+
If you find our work useful in your research, please consider citing:
|
| 114 |
+
|
| 115 |
+
```bibtex
|
| 116 |
+
@article{team2025zimage,
|
| 117 |
+
title={Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer},
|
| 118 |
+
author={Z-Image Team},
|
| 119 |
+
journal={arXiv preprint arXiv:2511.22699},
|
| 120 |
+
year={2025}
|
| 121 |
+
}
|
| 122 |
+
```
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model_index.json
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{
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"_class_name": "ZImagePipeline",
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| 3 |
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"_diffusers_version": "0.37.0.dev0",
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| 4 |
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"scheduler": [
|
| 5 |
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"diffusers",
|
| 6 |
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"FlowMatchEulerDiscreteScheduler"
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| 7 |
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],
|
| 8 |
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"text_encoder": [
|
| 9 |
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"transformers",
|
| 10 |
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"Qwen3Model"
|
| 11 |
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],
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| 12 |
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"tokenizer": [
|
| 13 |
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"transformers",
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| 14 |
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"Qwen2Tokenizer"
|
| 15 |
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],
|
| 16 |
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"transformer": [
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| 17 |
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"diffusers",
|
| 18 |
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"ZImageTransformer2DModel"
|
| 19 |
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],
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| 20 |
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"vae": [
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| 21 |
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"diffusers",
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| 22 |
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"AutoencoderKL"
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]
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}
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scheduler/scheduler_config.json
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{
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"_class_name": "FlowMatchEulerDiscreteScheduler",
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| 3 |
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"_diffusers_version": "0.37.0.dev0",
|
| 4 |
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"num_train_timesteps": 1000,
|
| 5 |
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"use_dynamic_shifting": false,
|
| 6 |
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"shift": 6.0
|
| 7 |
+
}
|
teaser.jpg
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Git LFS Details
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text_encoder/0.safetensors
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:42e8cc85ed6c8ff3290296f74d73452b2662bed443e027ceb628671147841b9c
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| 3 |
+
size 2145936537
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text_encoder/1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fdd5a8dd366c3a2f9117605e8629c169681385485aaa55e24dd5772c03699e3f
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| 3 |
+
size 2128216920
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text_encoder/config.json
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{
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"architectures": [
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| 3 |
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"Qwen3ForCausalLM"
|
| 4 |
+
],
|
| 5 |
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"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 151643,
|
| 8 |
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"eos_token_id": 151645,
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| 9 |
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"head_dim": 128,
|
| 10 |
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"hidden_act": "silu",
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| 11 |
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"hidden_size": 2560,
|
| 12 |
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"initializer_range": 0.02,
|
| 13 |
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"intermediate_size": 9728,
|
| 14 |
+
"max_position_embeddings": 40960,
|
| 15 |
+
"max_window_layers": 36,
|
| 16 |
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"model_type": "qwen3",
|
| 17 |
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"num_attention_heads": 32,
|
| 18 |
+
"num_hidden_layers": 36,
|
| 19 |
+
"num_key_value_heads": 8,
|
| 20 |
+
"rms_norm_eps": 1e-06,
|
| 21 |
+
"rope_scaling": null,
|
| 22 |
+
"rope_theta": 1000000,
|
| 23 |
+
"sliding_window": null,
|
| 24 |
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"tie_word_embeddings": true,
|
| 25 |
+
"torch_dtype": "bfloat16",
|
| 26 |
+
"transformers_version": "4.51.0",
|
| 27 |
+
"use_cache": true,
|
| 28 |
+
"use_sliding_window": false,
|
| 29 |
+
"vocab_size": 151936
|
| 30 |
+
}
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text_encoder/generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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| 7 |
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],
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| 8 |
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"pad_token_id": 151643,
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| 9 |
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"temperature": 0.6,
|
| 10 |
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"top_k": 20,
|
| 11 |
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"top_p": 0.95,
|
| 12 |
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"transformers_version": "4.51.0"
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| 13 |
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}
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text_encoder/model.safetensors.index.json
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| 296 |
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| 297 |
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| 298 |
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|
| 299 |
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|
| 300 |
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|
| 301 |
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|
| 302 |
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|
| 303 |
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|
| 304 |
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|
| 305 |
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"model.layers.33.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 306 |
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"model.layers.33.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 307 |
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"model.layers.33.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 308 |
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"model.layers.33.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 309 |
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|
| 310 |
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"model.layers.33.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 311 |
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"model.layers.33.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 312 |
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|
| 313 |
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|
| 314 |
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|
| 315 |
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|
| 316 |
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"model.layers.34.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 317 |
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|
| 318 |
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|
| 319 |
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|
| 320 |
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|
| 321 |
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|
| 322 |
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|
| 323 |
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|
| 324 |
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"model.layers.34.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 325 |
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|
| 326 |
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"model.layers.35.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 327 |
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"model.layers.35.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 328 |
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"model.layers.35.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 329 |
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"model.layers.35.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 330 |
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"model.layers.35.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 331 |
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|
| 332 |
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"model.layers.35.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 333 |
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"model.layers.35.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 334 |
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|
| 335 |
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"model.layers.35.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 336 |
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|
| 337 |
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|
| 338 |
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|
| 339 |
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|
| 340 |
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|
| 341 |
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|
| 342 |
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"model.layers.4.self_attn.k_norm.weight": "model-00001-of-00003.safetensors",
|
| 343 |
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"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 344 |
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|
| 345 |
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|
| 346 |
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"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 347 |
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|
| 348 |
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|
| 349 |
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|
| 350 |
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|
| 351 |
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"model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 352 |
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"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 353 |
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|
| 354 |
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|
| 355 |
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|
| 356 |
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|
| 357 |
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|
| 358 |
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"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 359 |
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|
| 360 |
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| 361 |
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|
| 362 |
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|
| 363 |
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|
| 364 |
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|
| 365 |
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|
| 366 |
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|
| 367 |
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|
| 368 |
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|
| 369 |
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|
| 370 |
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| 371 |
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| 373 |
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|
| 374 |
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|
| 375 |
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|
| 376 |
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|
| 377 |
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|
| 378 |
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|
| 379 |
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|
| 380 |
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|
| 381 |
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"model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 382 |
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|
| 383 |
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|
| 384 |
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|
| 385 |
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|
| 386 |
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|
| 387 |
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|
| 388 |
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|
| 389 |
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|
| 390 |
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|
| 391 |
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|
| 392 |
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|
| 393 |
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|
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|
| 395 |
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|
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|
| 397 |
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|
| 398 |
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|
| 399 |
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|
| 400 |
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|
| 401 |
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|
| 402 |
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|
| 403 |
+
"model.norm.weight": "model-00003-of-00003.safetensors"
|
| 404 |
+
}
|
| 405 |
+
}
|
tokenizer/chat_template.jinja
ADDED
|
@@ -0,0 +1,89 @@
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| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{{- messages[0].content + '\n\n' }}
|
| 5 |
+
{%- endif %}
|
| 6 |
+
{{- "# 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>" }}
|
| 7 |
+
{%- for tool in tools %}
|
| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
|
| 10 |
+
{%- endfor %}
|
| 11 |
+
{{- "\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" }}
|
| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
+
{%- for message in messages[::-1] %}
|
| 19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
+
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
| 21 |
+
{%- set ns.multi_step_tool = false %}
|
| 22 |
+
{%- set ns.last_query_index = index %}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
| 25 |
+
{%- for message in messages %}
|
| 26 |
+
{%- if message.content is string %}
|
| 27 |
+
{%- set content = message.content %}
|
| 28 |
+
{%- else %}
|
| 29 |
+
{%- set content = '' %}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 32 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 33 |
+
{%- elif message.role == "assistant" %}
|
| 34 |
+
{%- set reasoning_content = '' %}
|
| 35 |
+
{%- if message.reasoning_content is string %}
|
| 36 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 37 |
+
{%- else %}
|
| 38 |
+
{%- if '</think>' in content %}
|
| 39 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 40 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 44 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 45 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 46 |
+
{%- else %}
|
| 47 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 48 |
+
{%- endif %}
|
| 49 |
+
{%- else %}
|
| 50 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- if message.tool_calls %}
|
| 53 |
+
{%- for tool_call in message.tool_calls %}
|
| 54 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 55 |
+
{{- '\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- if tool_call.function %}
|
| 58 |
+
{%- set tool_call = tool_call.function %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 61 |
+
{{- tool_call.name }}
|
| 62 |
+
{{- '", "arguments": ' }}
|
| 63 |
+
{%- if tool_call.arguments is string %}
|
| 64 |
+
{{- tool_call.arguments }}
|
| 65 |
+
{%- else %}
|
| 66 |
+
{{- tool_call.arguments | tojson }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{{- '}\n</tool_call>' }}
|
| 69 |
+
{%- endfor %}
|
| 70 |
+
{%- endif %}
|
| 71 |
+
{{- '<|im_end|>\n' }}
|
| 72 |
+
{%- elif message.role == "tool" %}
|
| 73 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 74 |
+
{{- '<|im_start|>user' }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{{- '\n<tool_response>\n' }}
|
| 77 |
+
{{- content }}
|
| 78 |
+
{{- '\n</tool_response>' }}
|
| 79 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 80 |
+
{{- '<|im_end|>\n' }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{%- endfor %}
|
| 84 |
+
{%- if add_generation_prompt %}
|
| 85 |
+
{{- '<|im_start|>assistant\n' }}
|
| 86 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 87 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{%- endif %}
|
tokenizer/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
| 3 |
+
size 11422654
|
tokenizer/tokenizer_config.json
ADDED
|
@@ -0,0 +1,239 @@
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"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 |
+
"151665": {
|
| 182 |
+
"content": "<tool_response>",
|
| 183 |
+
"lstrip": false,
|
| 184 |
+
"normalized": false,
|
| 185 |
+
"rstrip": false,
|
| 186 |
+
"single_word": false,
|
| 187 |
+
"special": false
|
| 188 |
+
},
|
| 189 |
+
"151666": {
|
| 190 |
+
"content": "</tool_response>",
|
| 191 |
+
"lstrip": false,
|
| 192 |
+
"normalized": false,
|
| 193 |
+
"rstrip": false,
|
| 194 |
+
"single_word": false,
|
| 195 |
+
"special": false
|
| 196 |
+
},
|
| 197 |
+
"151667": {
|
| 198 |
+
"content": "<think>",
|
| 199 |
+
"lstrip": false,
|
| 200 |
+
"normalized": false,
|
| 201 |
+
"rstrip": false,
|
| 202 |
+
"single_word": false,
|
| 203 |
+
"special": false
|
| 204 |
+
},
|
| 205 |
+
"151668": {
|
| 206 |
+
"content": "</think>",
|
| 207 |
+
"lstrip": false,
|
| 208 |
+
"normalized": false,
|
| 209 |
+
"rstrip": false,
|
| 210 |
+
"single_word": false,
|
| 211 |
+
"special": false
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"additional_special_tokens": [
|
| 215 |
+
"<|im_start|>",
|
| 216 |
+
"<|im_end|>",
|
| 217 |
+
"<|object_ref_start|>",
|
| 218 |
+
"<|object_ref_end|>",
|
| 219 |
+
"<|box_start|>",
|
| 220 |
+
"<|box_end|>",
|
| 221 |
+
"<|quad_start|>",
|
| 222 |
+
"<|quad_end|>",
|
| 223 |
+
"<|vision_start|>",
|
| 224 |
+
"<|vision_end|>",
|
| 225 |
+
"<|vision_pad|>",
|
| 226 |
+
"<|image_pad|>",
|
| 227 |
+
"<|video_pad|>"
|
| 228 |
+
],
|
| 229 |
+
"bos_token": null,
|
| 230 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\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 {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- 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 {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
|
| 231 |
+
"clean_up_tokenization_spaces": false,
|
| 232 |
+
"eos_token": "<|im_end|>",
|
| 233 |
+
"errors": "replace",
|
| 234 |
+
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transformer/config.json
ADDED
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"x_pad_token": "diffusion_pytorch_model-00001-of-00002.safetensors"
|
| 527 |
+
}
|
| 528 |
+
}
|
transformer/model.safetensors.index.json
ADDED
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@@ -0,0 +1,1081 @@
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|
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vae/config.json
ADDED
|
@@ -0,0 +1,38 @@
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|
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
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|
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|
| 7 |
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|
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|
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|
| 10 |
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|
| 11 |
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|
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|
| 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 |
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|
| 20 |
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| 21 |
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|
| 22 |
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| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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| 29 |
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| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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| 34 |
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|
| 35 |
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| 36 |
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|
| 37 |
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|
| 38 |
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vae/model.safetensors.index.json
ADDED
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@@ -0,0 +1,268 @@
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