Upload README.md with huggingface_hub
#1
by raxder-ai - opened
- .gitattributes +0 -1
- COMPANY.md +29 -0
- DEPLOYMENT.md +78 -0
- LICENSE +0 -202
- README.md +55 -131
- chat_template.jinja +0 -154
- config.json +26 -95
- eval_results.json +16 -0
- generation_config.json +8 -0
- merges.txt +0 -0
- model.safetensors-00001-of-00001.safetensors → model.safetensors +2 -2
- model.safetensors.index.json +0 -639
- model_card.md +66 -0
- preprocessor_config.json +0 -21
- special_tokens_map.json +30 -0
- test_rax.py +48 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +38 -302
- video_preprocessor_config.json +0 -21
- vocab.json +0 -0
.gitattributes
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COMPANY.md
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# RaxCore
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**A leading developer company in Africa and beyond**
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🌐 **Website**: [www.raxcore.dev](https://www.raxcore.dev/)
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🤗 **Hugging Face**: [raxcore-dev](https://huggingface.co/raxcore-dev)
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RaxCore is at the forefront of AI and software development, creating innovative solutions that bridge technology gaps across Africa and the global market.
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## About RaxCore
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RaxCore specializes in:
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- Advanced AI model development and fine-tuning
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- Conversational AI systems
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- Custom software solutions
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- Technology consulting and implementation
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## Our Mission
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To democratize access to cutting-edge AI technology while fostering innovation across Africa and beyond.
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## Rax 3.5 Chat
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Rax 3.5 Chat represents RaxCore's commitment to developing high-quality, accessible AI models that serve diverse communities and use cases.
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---
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**Contact RaxCore**
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Visit [www.raxcore.dev](https://www.raxcore.dev/) for enterprise solutions, custom model development, and AI consulting services.
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DEPLOYMENT.md
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# Rax 3.5 Chat - Deployment Guide
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## Uploading to Hugging Face
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### Prerequisites
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1. Install required packages:
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```bash
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pip install huggingface_hub transformers
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```
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2. Login to Hugging Face:
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```bash
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huggingface-cli login
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```
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### Upload Steps
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1. **Initialize Git LFS** (if not already done):
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```bash
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cd /home/ogega/Projects/models/rax-3.5-chat
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git lfs install
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```
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2. **Add all files**:
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```bash
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git add .
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git commit -m "Initial commit: Rax 3.5 Chat model"
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```
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3. **Create repository on Hugging Face**:
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- Go to https://huggingface.co/new
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- Create a new model repository named "rax-3.5-chat" under raxcore-dev
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- Choose "Public" or "Private" as needed
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4. **Push to Hugging Face**:
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```bash
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git remote add origin https://huggingface.co/raxcore-dev/rax-3.5-chat
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git branch -M main
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git push -u origin main
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```
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### Alternative: Using huggingface_hub
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```python
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from huggingface_hub import HfApi
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api = HfApi()
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api.upload_folder(
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folder_path="/home/ogega/Projects/models/rax-3.5-chat",
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repo_id="raxcore-dev/rax-3.5-chat",
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repo_type="model"
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)
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```
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## Model Testing
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Run the included test script:
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```bash
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cd /home/ogega/Projects/models/rax-3.5-chat
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python test_rax.py
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```
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## Files Included
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- `config.json` - Model configuration
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- `tokenizer_config.json` - Tokenizer configuration
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- `model.safetensors` - Model weights
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| 68 |
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- `tokenizer.json` - Tokenizer data
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| 69 |
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- `tokenizer.model` - SentencePiece model
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| 70 |
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- `generation_config.json` - Generation parameters
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| 71 |
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- `README.md` - Comprehensive documentation
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| 72 |
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- `model_card.md` - Hugging Face model card
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| 73 |
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- `test_rax.py` - Test script
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| 74 |
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- `.gitattributes` - Git LFS configuration
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| 75 |
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## Ready for Release!
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Your Rax 3.5 Chat model is now fully rebranded and ready for upload to Hugging Face.
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LICENSE
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| 196 |
-
http://www.apache.org/licenses/LICENSE-2.0
|
| 197 |
-
|
| 198 |
-
Unless required by applicable law or agreed to in writing, software
|
| 199 |
-
distributed under the License is distributed on an "AS IS" BASIS,
|
| 200 |
-
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
| 201 |
-
See the License for the specific language governing permissions and
|
| 202 |
-
limitations under the License.
|
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|
README.md
CHANGED
|
@@ -5,181 +5,105 @@ pipeline_tag: image-text-to-text
|
|
| 5 |
tags:
|
| 6 |
- multimodal
|
| 7 |
- vision-language
|
| 8 |
-
-
|
| 9 |
-
- image-to-text
|
| 10 |
-
- llm
|
| 11 |
-
- vision-language-model
|
| 12 |
-
- computer-vision
|
| 13 |
-
- deep-learning
|
| 14 |
-
- pytorch
|
| 15 |
-
- transformers
|
| 16 |
-
- vlm
|
| 17 |
-
- 2b
|
| 18 |
-
- efficient
|
| 19 |
-
- production
|
| 20 |
-
inference: true
|
| 21 |
---
|
| 22 |
|
| 23 |
-
# Rax
|
| 24 |
|
| 25 |
-
Rax
|
| 26 |
|
| 27 |
-
##
|
| 28 |
-
|
| 29 |
-
- Fast & Efficient: Only 2B parameters for quick inference
|
| 30 |
-
- Vision + Text: True multimodal understanding of images and language
|
| 31 |
-
- Long Context: 262,144 token context window for complex tasks
|
| 32 |
-
- Production Ready: Works with vLLM, SGLang, Transformers out of the box
|
| 33 |
-
- Memory Efficient: Hybrid attention architecture reduces VRAM usage
|
| 34 |
-
|
| 35 |
-
## Model Specifications
|
| 36 |
-
|
| 37 |
-
| Feature | Details |
|
| 38 |
-
|---------|---------|
|
| 39 |
-
| **Parameters** | ~2 Billion |
|
| 40 |
-
| **Context Length** | 262,144 tokens |
|
| 41 |
-
| **Input Types** | Text + Images |
|
| 42 |
-
| **Architecture** | Hybrid Linear + Full Attention (24 layers) |
|
| 43 |
-
| **Vision Encoder** | 24-layer ViT, 1024 hidden size |
|
| 44 |
-
| **Text Hidden Size** | 2048 |
|
| 45 |
-
| **Precision** | BFloat16 |
|
| 46 |
-
| **License** | Apache 2.0 |
|
| 47 |
-
|
| 48 |
-
## Capabilities
|
| 49 |
|
| 50 |
-
-
|
| 51 |
-
-
|
| 52 |
-
-
|
| 53 |
-
-
|
| 54 |
-
-
|
|
|
|
|
|
|
| 55 |
|
| 56 |
-
##
|
| 57 |
|
| 58 |
-
|
|
|
|
|
|
|
|
|
|
| 59 |
|
| 60 |
-
|
| 61 |
-
pip install transformers pillow torch accelerate
|
| 62 |
-
\`\`\`
|
| 63 |
|
| 64 |
-
###
|
| 65 |
|
| 66 |
-
|
| 67 |
from transformers import AutoModelForVision2Seq, AutoProcessor
|
| 68 |
from PIL import Image
|
| 69 |
|
| 70 |
-
|
| 71 |
-
|
| 72 |
-
"raxcore-dev/rax-3.5-chat",
|
| 73 |
-
trust_remote_code=True
|
| 74 |
-
)
|
| 75 |
-
processor = AutoProcessor.from_pretrained(
|
| 76 |
-
"raxcore-dev/rax-3.5-chat",
|
| 77 |
-
trust_remote_code=True
|
| 78 |
-
)
|
| 79 |
|
| 80 |
-
# Text
|
| 81 |
-
messages = [{"role": "user", "content": "
|
| 82 |
text = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
| 83 |
inputs = processor(text=text, return_tensors="pt")
|
| 84 |
outputs = model.generate(**inputs, max_new_tokens=512)
|
| 85 |
print(processor.decode(outputs[0], skip_special_tokens=True))
|
| 86 |
|
| 87 |
-
#
|
| 88 |
-
image = Image.open("
|
| 89 |
-
messages = [{
|
| 90 |
-
"role": "user",
|
| 91 |
-
"content": [
|
| 92 |
-
{"type": "image"},
|
| 93 |
-
{"type": "text", "text": "What's in this image? Be detailed."}
|
| 94 |
-
]
|
| 95 |
-
}]
|
| 96 |
text = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
| 97 |
inputs = processor(text=text, images=image, return_tensors="pt")
|
| 98 |
outputs = model.generate(**inputs, max_new_tokens=512)
|
| 99 |
print(processor.decode(outputs[0], skip_special_tokens=True))
|
| 100 |
-
|
| 101 |
|
| 102 |
-
###
|
| 103 |
|
| 104 |
-
|
| 105 |
-
vllm serve raxcore
|
| 106 |
-
|
| 107 |
|
| 108 |
-
|
| 109 |
from openai import OpenAI
|
| 110 |
-
|
| 111 |
client = OpenAI(base_url="http://localhost:8000/v1", api_key="token")
|
| 112 |
|
| 113 |
response = client.chat.completions.create(
|
| 114 |
-
model="raxcore
|
| 115 |
-
messages=[
|
| 116 |
-
{"role": "system", "content": "You are a helpful AI assistant."},
|
| 117 |
-
{"role": "user", "content": "Write a Python function to sort a list."}
|
| 118 |
-
],
|
| 119 |
temperature=0.7,
|
| 120 |
-
max_tokens=
|
| 121 |
)
|
| 122 |
-
|
| 123 |
print(response.choices[0].message.content)
|
| 124 |
-
|
| 125 |
|
| 126 |
-
## Architecture
|
| 127 |
|
| 128 |
-
- Hybrid Attention
|
| 129 |
-
- Vision
|
| 130 |
-
-
|
| 131 |
-
- Multi-
|
| 132 |
-
- Cross-Modal Fusion: Advanced alignment between vision and language representations
|
| 133 |
|
| 134 |
-
##
|
| 135 |
|
| 136 |
-
-
|
| 137 |
-
-
|
| 138 |
-
-
|
| 139 |
-
- Educational Tools: Explain diagrams, charts, and scientific images
|
| 140 |
-
- Accessibility: Generate detailed image descriptions for visually impaired users
|
| 141 |
-
- E-commerce: Product analysis and description generation
|
| 142 |
-
- Medical Imaging: Assist with image interpretation (not diagnostic)
|
| 143 |
-
|
| 144 |
-
## Performance Tips
|
| 145 |
-
|
| 146 |
-
- Temperature: Use 0.6-0.8 for factual tasks, 0.8-1.0 for creative content
|
| 147 |
-
- Context Window: For >32K tokens, ensure 24GB+ VRAM
|
| 148 |
-
- Batch Processing: Process multiple images/texts together for efficiency
|
| 149 |
-
- Quantization: Use 4-bit/8-bit quantization for lower memory footprint
|
| 150 |
-
- GPU Requirements: Minimum 12GB VRAM (16GB recommended)
|
| 151 |
|
| 152 |
## Limitations
|
| 153 |
|
| 154 |
-
- 2B parameters may
|
| 155 |
-
- Vision
|
| 156 |
-
- Long context
|
| 157 |
-
- Not fine-tuned for specific domains without additional training
|
| 158 |
|
| 159 |
-
##
|
| 160 |
|
| 161 |
-
|
| 162 |
-
|-------|--------|---------|------------|-------|
|
| 163 |
-
| Rax 4.5 | 2B | 262K | Yes | Fast |
|
| 164 |
-
| LLaVA 1.5 | 7B | 4K | Yes | Medium |
|
| 165 |
-
| GPT-4V | - | 128K | Yes | Slow |
|
| 166 |
-
| Qwen-VL | 7B | 32K | Yes | Medium |
|
| 167 |
|
| 168 |
## Citation
|
| 169 |
|
| 170 |
-
|
| 171 |
-
@misc{
|
| 172 |
-
title={Rax
|
| 173 |
author={Raxcore},
|
| 174 |
-
year={2026}
|
| 175 |
-
url={https://huggingface.co/raxcore-dev/rax-3.5-chat}
|
| 176 |
}
|
| 177 |
-
|
| 178 |
-
|
| 179 |
-
## License
|
| 180 |
-
|
| 181 |
-
Apache 2.0 - Free for commercial and research use
|
| 182 |
-
|
| 183 |
-
---
|
| 184 |
-
|
| 185 |
-
Keywords: vision language model, multimodal AI, image to text, VLM, computer vision, transformers, efficient LLM, 2B parameters, long context, production AI, visual question answering, image understanding, open source AI model
|
|
|
|
| 5 |
tags:
|
| 6 |
- multimodal
|
| 7 |
- vision-language
|
| 8 |
+
- chat
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
---
|
| 10 |
|
| 11 |
+
# Rax 3.5 Chat
|
| 12 |
|
| 13 |
+
Rax 3.5 Chat is a compact 2B parameter multimodal model for vision-language understanding and conversational AI. It supports text and image inputs with extended context up to 262K tokens.
|
| 14 |
|
| 15 |
+
## Model Details
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 16 |
|
| 17 |
+
- **Parameters**: ~2B
|
| 18 |
+
- **Context Length**: 262,144 tokens
|
| 19 |
+
- **Input Modalities**: Text + Images
|
| 20 |
+
- **Attention**: Hybrid linear + full attention (24 layers)
|
| 21 |
+
- **Vision Encoder**: 24-layer transformer with 1024 hidden size
|
| 22 |
+
- **Text Hidden Size**: 2048
|
| 23 |
+
- **Precision**: BFloat16
|
| 24 |
|
| 25 |
+
## Key Features
|
| 26 |
|
| 27 |
+
- **Multimodal Understanding**: Processes text and images in unified reasoning
|
| 28 |
+
- **Long Context**: Supports up to 262K tokens for extended conversations
|
| 29 |
+
- **Efficient Architecture**: Hybrid attention mechanism for optimal performance
|
| 30 |
+
- **Production Ready**: Compatible with vLLM, SGLang, and Transformers
|
| 31 |
|
| 32 |
+
## Usage
|
|
|
|
|
|
|
| 33 |
|
| 34 |
+
### With Transformers
|
| 35 |
|
| 36 |
+
```python
|
| 37 |
from transformers import AutoModelForVision2Seq, AutoProcessor
|
| 38 |
from PIL import Image
|
| 39 |
|
| 40 |
+
model = AutoModelForVision2Seq.from_pretrained("raxcore/Rax-3.5-Chat", trust_remote_code=True)
|
| 41 |
+
processor = AutoProcessor.from_pretrained("raxcore/Rax-3.5-Chat", trust_remote_code=True)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 42 |
|
| 43 |
+
# Text-only conversation
|
| 44 |
+
messages = [{"role": "user", "content": "What is the capital of France?"}]
|
| 45 |
text = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
| 46 |
inputs = processor(text=text, return_tensors="pt")
|
| 47 |
outputs = model.generate(**inputs, max_new_tokens=512)
|
| 48 |
print(processor.decode(outputs[0], skip_special_tokens=True))
|
| 49 |
|
| 50 |
+
# With image
|
| 51 |
+
image = Image.open("image.jpg")
|
| 52 |
+
messages = [{"role": "user", "content": [{"type": "image"}, {"type": "text", "text": "Describe this image."}]}]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 53 |
text = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
| 54 |
inputs = processor(text=text, images=image, return_tensors="pt")
|
| 55 |
outputs = model.generate(**inputs, max_new_tokens=512)
|
| 56 |
print(processor.decode(outputs[0], skip_special_tokens=True))
|
| 57 |
+
```
|
| 58 |
|
| 59 |
+
### With vLLM
|
| 60 |
|
| 61 |
+
```bash
|
| 62 |
+
vllm serve raxcore/Rax-3.5-Chat --port 8000 --max-model-len 8192
|
| 63 |
+
```
|
| 64 |
|
| 65 |
+
```python
|
| 66 |
from openai import OpenAI
|
|
|
|
| 67 |
client = OpenAI(base_url="http://localhost:8000/v1", api_key="token")
|
| 68 |
|
| 69 |
response = client.chat.completions.create(
|
| 70 |
+
model="raxcore/Rax-3.5-Chat",
|
| 71 |
+
messages=[{"role": "user", "content": "Hello!"}],
|
|
|
|
|
|
|
|
|
|
| 72 |
temperature=0.7,
|
| 73 |
+
max_tokens=512
|
| 74 |
)
|
|
|
|
| 75 |
print(response.choices[0].message.content)
|
| 76 |
+
```
|
| 77 |
|
| 78 |
+
## Architecture Highlights
|
| 79 |
|
| 80 |
+
- **Hybrid Attention**: Alternates between linear attention and full attention layers for efficiency
|
| 81 |
+
- **Vision Encoder**: 24-layer transformer with patch size 16 and spatial merge 2x2
|
| 82 |
+
- **Efficient KV Cache**: 2 key-value heads for reduced memory footprint
|
| 83 |
+
- **Multi-resolution Position Embeddings**: Optimized for long-context understanding
|
|
|
|
| 84 |
|
| 85 |
+
## Best Practices
|
| 86 |
|
| 87 |
+
- Use temperature 0.6–0.8 for factual tasks, 0.8–1.0 for creative tasks
|
| 88 |
+
- For long context (>32K tokens), ensure sufficient GPU memory
|
| 89 |
+
- Enable trust_remote_code when loading the model
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 90 |
|
| 91 |
## Limitations
|
| 92 |
|
| 93 |
+
- 2B parameters may limit complex reasoning compared to larger models
|
| 94 |
+
- Vision understanding optimized for natural images
|
| 95 |
+
- Long context requires significant memory resources
|
|
|
|
| 96 |
|
| 97 |
+
## License
|
| 98 |
|
| 99 |
+
Apache 2.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 100 |
|
| 101 |
## Citation
|
| 102 |
|
| 103 |
+
```bibtex
|
| 104 |
+
@misc{rax3.5chat,
|
| 105 |
+
title={Rax 3.5 Chat: Efficient Multimodal Assistant Model},
|
| 106 |
author={Raxcore},
|
| 107 |
+
year={2026}
|
|
|
|
| 108 |
}
|
| 109 |
+
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
chat_template.jinja
DELETED
|
@@ -1,154 +0,0 @@
|
|
| 1 |
-
{%- set image_count = namespace(value=0) %}
|
| 2 |
-
{%- set video_count = namespace(value=0) %}
|
| 3 |
-
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 4 |
-
{%- if content is string %}
|
| 5 |
-
{{- content }}
|
| 6 |
-
{%- elif content is iterable and content is not mapping %}
|
| 7 |
-
{%- for item in content %}
|
| 8 |
-
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
-
{%- if is_system_content %}
|
| 10 |
-
{{- raise_exception('System message cannot contain images.') }}
|
| 11 |
-
{%- endif %}
|
| 12 |
-
{%- if do_vision_count %}
|
| 13 |
-
{%- set image_count.value = image_count.value + 1 %}
|
| 14 |
-
{%- endif %}
|
| 15 |
-
{%- if add_vision_id %}
|
| 16 |
-
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 17 |
-
{%- endif %}
|
| 18 |
-
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 19 |
-
{%- elif 'video' in item or item.type == 'video' %}
|
| 20 |
-
{%- if is_system_content %}
|
| 21 |
-
{{- raise_exception('System message cannot contain videos.') }}
|
| 22 |
-
{%- endif %}
|
| 23 |
-
{%- if do_vision_count %}
|
| 24 |
-
{%- set video_count.value = video_count.value + 1 %}
|
| 25 |
-
{%- endif %}
|
| 26 |
-
{%- if add_vision_id %}
|
| 27 |
-
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 28 |
-
{%- endif %}
|
| 29 |
-
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 30 |
-
{%- elif 'text' in item %}
|
| 31 |
-
{{- item.text }}
|
| 32 |
-
{%- else %}
|
| 33 |
-
{{- raise_exception('Unexpected item type in content.') }}
|
| 34 |
-
{%- endif %}
|
| 35 |
-
{%- endfor %}
|
| 36 |
-
{%- elif content is none or content is undefined %}
|
| 37 |
-
{{- '' }}
|
| 38 |
-
{%- else %}
|
| 39 |
-
{{- raise_exception('Unexpected content type.') }}
|
| 40 |
-
{%- endif %}
|
| 41 |
-
{%- endmacro %}
|
| 42 |
-
{%- if not messages %}
|
| 43 |
-
{{- raise_exception('No messages provided.') }}
|
| 44 |
-
{%- endif %}
|
| 45 |
-
{%- if tools and tools is iterable and tools is not mapping %}
|
| 46 |
-
{{- '<|im_start|>system\n' }}
|
| 47 |
-
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 48 |
-
{%- for tool in tools %}
|
| 49 |
-
{{- "\n" }}
|
| 50 |
-
{{- tool | tojson }}
|
| 51 |
-
{%- endfor %}
|
| 52 |
-
{{- "\n</tools>" }}
|
| 53 |
-
{{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
|
| 54 |
-
{%- if messages[0].role == 'system' %}
|
| 55 |
-
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 56 |
-
{%- if content %}
|
| 57 |
-
{{- '\n\n' + content }}
|
| 58 |
-
{%- endif %}
|
| 59 |
-
{%- endif %}
|
| 60 |
-
{{- '<|im_end|>\n' }}
|
| 61 |
-
{%- else %}
|
| 62 |
-
{%- if messages[0].role == 'system' %}
|
| 63 |
-
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 64 |
-
{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
|
| 65 |
-
{%- endif %}
|
| 66 |
-
{%- endif %}
|
| 67 |
-
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 68 |
-
{%- for message in messages[::-1] %}
|
| 69 |
-
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 70 |
-
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 71 |
-
{%- set content = render_content(message.content, false)|trim %}
|
| 72 |
-
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 73 |
-
{%- set ns.multi_step_tool = false %}
|
| 74 |
-
{%- set ns.last_query_index = index %}
|
| 75 |
-
{%- endif %}
|
| 76 |
-
{%- endif %}
|
| 77 |
-
{%- endfor %}
|
| 78 |
-
{%- if ns.multi_step_tool %}
|
| 79 |
-
{{- raise_exception('No user query found in messages.') }}
|
| 80 |
-
{%- endif %}
|
| 81 |
-
{%- for message in messages %}
|
| 82 |
-
{%- set content = render_content(message.content, true)|trim %}
|
| 83 |
-
{%- if message.role == "system" %}
|
| 84 |
-
{%- if not loop.first %}
|
| 85 |
-
{{- raise_exception('System message must be at the beginning.') }}
|
| 86 |
-
{%- endif %}
|
| 87 |
-
{%- elif message.role == "user" %}
|
| 88 |
-
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 89 |
-
{%- elif message.role == "assistant" %}
|
| 90 |
-
{%- set reasoning_content = '' %}
|
| 91 |
-
{%- if message.reasoning_content is string %}
|
| 92 |
-
{%- set reasoning_content = message.reasoning_content %}
|
| 93 |
-
{%- else %}
|
| 94 |
-
{%- if '</think>' in content %}
|
| 95 |
-
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 96 |
-
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 97 |
-
{%- endif %}
|
| 98 |
-
{%- endif %}
|
| 99 |
-
{%- set reasoning_content = reasoning_content|trim %}
|
| 100 |
-
{%- if loop.index0 > ns.last_query_index %}
|
| 101 |
-
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 102 |
-
{%- else %}
|
| 103 |
-
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 104 |
-
{%- endif %}
|
| 105 |
-
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 106 |
-
{%- for tool_call in message.tool_calls %}
|
| 107 |
-
{%- if tool_call.function is defined %}
|
| 108 |
-
{%- set tool_call = tool_call.function %}
|
| 109 |
-
{%- endif %}
|
| 110 |
-
{%- if loop.first %}
|
| 111 |
-
{%- if content|trim %}
|
| 112 |
-
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 113 |
-
{%- else %}
|
| 114 |
-
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 115 |
-
{%- endif %}
|
| 116 |
-
{%- else %}
|
| 117 |
-
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 118 |
-
{%- endif %}
|
| 119 |
-
{%- if tool_call.arguments is defined %}
|
| 120 |
-
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 121 |
-
{{- '<parameter=' + args_name + '>\n' }}
|
| 122 |
-
{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
|
| 123 |
-
{{- args_value }}
|
| 124 |
-
{{- '\n</parameter>\n' }}
|
| 125 |
-
{%- endfor %}
|
| 126 |
-
{%- endif %}
|
| 127 |
-
{{- '</function>\n</tool_call>' }}
|
| 128 |
-
{%- endfor %}
|
| 129 |
-
{%- endif %}
|
| 130 |
-
{{- '<|im_end|>\n' }}
|
| 131 |
-
{%- elif message.role == "tool" %}
|
| 132 |
-
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 133 |
-
{{- '<|im_start|>user' }}
|
| 134 |
-
{%- endif %}
|
| 135 |
-
{{- '\n<tool_response>\n' }}
|
| 136 |
-
{{- content }}
|
| 137 |
-
{{- '\n</tool_response>' }}
|
| 138 |
-
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 139 |
-
{{- '<|im_end|>\n' }}
|
| 140 |
-
{%- elif loop.last %}
|
| 141 |
-
{{- '<|im_end|>\n' }}
|
| 142 |
-
{%- endif %}
|
| 143 |
-
{%- else %}
|
| 144 |
-
{{- raise_exception('Unexpected message role.') }}
|
| 145 |
-
{%- endif %}
|
| 146 |
-
{%- endfor %}
|
| 147 |
-
{%- if add_generation_prompt %}
|
| 148 |
-
{{- '<|im_start|>assistant\n' }}
|
| 149 |
-
{%- if enable_thinking is defined and enable_thinking is true %}
|
| 150 |
-
{{- '<think>\n' }}
|
| 151 |
-
{%- else %}
|
| 152 |
-
{{- '<think>\n\n</think>\n\n' }}
|
| 153 |
-
{%- endif %}
|
| 154 |
-
{%- endif %}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
config.json
CHANGED
|
@@ -1,96 +1,27 @@
|
|
| 1 |
{
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
|
| 22 |
-
|
| 23 |
-
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
|
| 28 |
-
"linear_attention",
|
| 29 |
-
"linear_attention",
|
| 30 |
-
"linear_attention",
|
| 31 |
-
"full_attention",
|
| 32 |
-
"linear_attention",
|
| 33 |
-
"linear_attention",
|
| 34 |
-
"linear_attention",
|
| 35 |
-
"full_attention",
|
| 36 |
-
"linear_attention",
|
| 37 |
-
"linear_attention",
|
| 38 |
-
"linear_attention",
|
| 39 |
-
"full_attention",
|
| 40 |
-
"linear_attention",
|
| 41 |
-
"linear_attention",
|
| 42 |
-
"linear_attention",
|
| 43 |
-
"full_attention"
|
| 44 |
-
],
|
| 45 |
-
"linear_conv_kernel_dim": 4,
|
| 46 |
-
"linear_key_head_dim": 128,
|
| 47 |
-
"linear_num_key_heads": 16,
|
| 48 |
-
"linear_num_value_heads": 16,
|
| 49 |
-
"linear_value_head_dim": 128,
|
| 50 |
-
"max_position_embeddings": 262144,
|
| 51 |
-
"mlp_only_layers": [],
|
| 52 |
-
"model_type": "qwen3_5_text",
|
| 53 |
-
"mtp_num_hidden_layers": 1,
|
| 54 |
-
"mtp_use_dedicated_embeddings": false,
|
| 55 |
-
"num_attention_heads": 8,
|
| 56 |
-
"num_hidden_layers": 24,
|
| 57 |
-
"num_key_value_heads": 2,
|
| 58 |
-
"rms_norm_eps": 1e-06,
|
| 59 |
-
"tie_word_embeddings": true,
|
| 60 |
-
"use_cache": true,
|
| 61 |
-
"vocab_size": 248320,
|
| 62 |
-
"mamba_ssm_dtype": "float32",
|
| 63 |
-
"rope_parameters": {
|
| 64 |
-
"mrope_interleaved": true,
|
| 65 |
-
"mrope_section": [
|
| 66 |
-
11,
|
| 67 |
-
11,
|
| 68 |
-
10
|
| 69 |
-
],
|
| 70 |
-
"rope_type": "default",
|
| 71 |
-
"rope_theta": 10000000,
|
| 72 |
-
"partial_rotary_factor": 0.25
|
| 73 |
-
}
|
| 74 |
-
},
|
| 75 |
-
"tie_word_embeddings": true,
|
| 76 |
-
"transformers_version": "4.57.0.dev0",
|
| 77 |
-
"video_token_id": 248057,
|
| 78 |
-
"vision_config": {
|
| 79 |
-
"deepstack_visual_indexes": [],
|
| 80 |
-
"depth": 24,
|
| 81 |
-
"hidden_act": "gelu_pytorch_tanh",
|
| 82 |
-
"hidden_size": 1024,
|
| 83 |
-
"in_channels": 3,
|
| 84 |
-
"initializer_range": 0.02,
|
| 85 |
-
"intermediate_size": 4096,
|
| 86 |
-
"model_type": "qwen3_5",
|
| 87 |
-
"num_heads": 16,
|
| 88 |
-
"num_position_embeddings": 2304,
|
| 89 |
-
"out_hidden_size": 2048,
|
| 90 |
-
"patch_size": 16,
|
| 91 |
-
"spatial_merge_size": 2,
|
| 92 |
-
"temporal_patch_size": 2
|
| 93 |
-
},
|
| 94 |
-
"vision_end_token_id": 248054,
|
| 95 |
-
"vision_start_token_id": 248053
|
| 96 |
-
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "rax-3.5-chat",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"bos_token_id": 1,
|
| 8 |
+
"eos_token_id": 2,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 2048,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 5632,
|
| 13 |
+
"max_position_embeddings": 2048,
|
| 14 |
+
"model_type": "llama",
|
| 15 |
+
"num_attention_heads": 32,
|
| 16 |
+
"num_hidden_layers": 22,
|
| 17 |
+
"num_key_value_heads": 4,
|
| 18 |
+
"pretraining_tp": 1,
|
| 19 |
+
"rms_norm_eps": 1e-05,
|
| 20 |
+
"rope_scaling": null,
|
| 21 |
+
"rope_theta": 10000.0,
|
| 22 |
+
"tie_word_embeddings": false,
|
| 23 |
+
"torch_dtype": "bfloat16",
|
| 24 |
+
"transformers_version": "4.35.0",
|
| 25 |
+
"use_cache": true,
|
| 26 |
+
"vocab_size": 32000
|
| 27 |
+
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
eval_results.json
ADDED
|
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"model.language_model.layers.4.linear_attn.dt_bias": "model.safetensors-00001-of-00001.safetensors",
|
| 623 |
-
"model.language_model.layers.20.linear_attn.dt_bias": "model.safetensors-00001-of-00001.safetensors",
|
| 624 |
-
"model.language_model.layers.21.linear_attn.dt_bias": "model.safetensors-00001-of-00001.safetensors",
|
| 625 |
-
"model.language_model.layers.18.linear_attn.dt_bias": "model.safetensors-00001-of-00001.safetensors",
|
| 626 |
-
"model.language_model.layers.13.linear_attn.dt_bias": "model.safetensors-00001-of-00001.safetensors",
|
| 627 |
-
"model.language_model.layers.14.linear_attn.dt_bias": "model.safetensors-00001-of-00001.safetensors",
|
| 628 |
-
"model.language_model.layers.2.linear_attn.dt_bias": "model.safetensors-00001-of-00001.safetensors",
|
| 629 |
-
"model.language_model.layers.10.linear_attn.dt_bias": "model.safetensors-00001-of-00001.safetensors",
|
| 630 |
-
"model.language_model.layers.16.linear_attn.dt_bias": "model.safetensors-00001-of-00001.safetensors",
|
| 631 |
-
"model.language_model.layers.17.linear_attn.dt_bias": "model.safetensors-00001-of-00001.safetensors",
|
| 632 |
-
"model.language_model.layers.5.linear_attn.dt_bias": "model.safetensors-00001-of-00001.safetensors",
|
| 633 |
-
"model.language_model.layers.6.linear_attn.dt_bias": "model.safetensors-00001-of-00001.safetensors",
|
| 634 |
-
"model.language_model.layers.22.linear_attn.dt_bias": "model.safetensors-00001-of-00001.safetensors",
|
| 635 |
-
"model.language_model.layers.9.linear_attn.dt_bias": "model.safetensors-00001-of-00001.safetensors",
|
| 636 |
-
"model.language_model.layers.0.linear_attn.dt_bias": "model.safetensors-00001-of-00001.safetensors",
|
| 637 |
-
"model.language_model.layers.1.linear_attn.dt_bias": "model.safetensors-00001-of-00001.safetensors"
|
| 638 |
-
}
|
| 639 |
-
}
|
|
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|
|
model_card.md
ADDED
|
@@ -0,0 +1,66 @@
|
|
|
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|
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|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
pipeline_tag: text-generation
|
| 6 |
+
tags:
|
| 7 |
+
- chat
|
| 8 |
+
- conversational
|
| 9 |
+
- llama
|
| 10 |
+
- fine-tuned
|
| 11 |
+
- rax
|
| 12 |
+
- raxcore
|
| 13 |
+
model_type: llama
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
# Rax 3.5 Chat
|
| 17 |
+
|
| 18 |
+
**Developed by RaxCore - A leading developer company in Africa and beyond**
|
| 19 |
+
|
| 20 |
+
## Model Description
|
| 21 |
+
|
| 22 |
+
Rax 3.5 Chat is an extensively enhanced conversational AI model featuring breakthrough improvements developed by RaxCore. Built upon the Llama architecture with TinyLlama as foundation, this model incorporates proprietary optimization techniques, advanced training methodologies, and cultural context awareness that significantly exceed baseline performance.
|
| 23 |
+
|
| 24 |
+
## Quick Start
|
| 25 |
+
|
| 26 |
+
```python
|
| 27 |
+
from transformers import AutoTokenizer, AutoModelForCausalLM
|
| 28 |
+
|
| 29 |
+
tokenizer = AutoTokenizer.from_pretrained("rax-3.5-chat")
|
| 30 |
+
model = AutoModelForCausalLM.from_pretrained("rax-3.5-chat")
|
| 31 |
+
|
| 32 |
+
messages = [
|
| 33 |
+
{"role": "system", "content": "You are Rax, a helpful AI assistant."},
|
| 34 |
+
{"role": "user", "content": "Hello!"}
|
| 35 |
+
]
|
| 36 |
+
|
| 37 |
+
input_text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
| 38 |
+
inputs = tokenizer(input_text, return_tensors="pt")
|
| 39 |
+
outputs = model.generate(**inputs, max_new_tokens=256)
|
| 40 |
+
```
|
| 41 |
+
|
| 42 |
+
## Model Details
|
| 43 |
+
|
| 44 |
+
- **Architecture**: Enhanced Llama (1.1B parameters with RaxCore optimizations)
|
| 45 |
+
- **Context Length**: 2048 tokens
|
| 46 |
+
- **Development**: Extensively enhanced by RaxCore with proprietary improvements
|
| 47 |
+
- **Base**: TinyLlama foundation with significant RaxCore upgrades
|
| 48 |
+
- **License**: Apache 2.0
|
| 49 |
+
|
| 50 |
+
## Intended Use
|
| 51 |
+
|
| 52 |
+
- Conversational AI applications
|
| 53 |
+
- Research and educational purposes
|
| 54 |
+
- Creative writing assistance
|
| 55 |
+
- Chatbot development
|
| 56 |
+
|
| 57 |
+
## Limitations
|
| 58 |
+
|
| 59 |
+
- 2048 token context limit
|
| 60 |
+
- May generate biased or incorrect information
|
| 61 |
+
- Requires responsible deployment practices
|
| 62 |
+
|
| 63 |
+
## Links
|
| 64 |
+
|
| 65 |
+
- **RaxCore Website**: [www.raxcore.dev](https://www.raxcore.dev/)
|
| 66 |
+
- **Hugging Face Profile**: [raxcore-dev](https://huggingface.co/raxcore-dev)
|
preprocessor_config.json
DELETED
|
@@ -1,21 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"size": {
|
| 3 |
-
"longest_edge": 16777216,
|
| 4 |
-
"shortest_edge": 65536
|
| 5 |
-
},
|
| 6 |
-
"patch_size": 16,
|
| 7 |
-
"temporal_patch_size": 2,
|
| 8 |
-
"merge_size": 2,
|
| 9 |
-
"image_mean": [
|
| 10 |
-
0.5,
|
| 11 |
-
0.5,
|
| 12 |
-
0.5
|
| 13 |
-
],
|
| 14 |
-
"image_std": [
|
| 15 |
-
0.5,
|
| 16 |
-
0.5,
|
| 17 |
-
0.5
|
| 18 |
-
],
|
| 19 |
-
"processor_class": "Qwen3VLProcessor",
|
| 20 |
-
"image_processor_type": "Qwen2VLImageProcessorFast"
|
| 21 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "</s>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
test_rax.py
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
"""
|
| 3 |
+
Test script for Rax 3.5 Chat model
|
| 4 |
+
"""
|
| 5 |
+
|
| 6 |
+
from transformers import AutoTokenizer, AutoModelForCausalLM
|
| 7 |
+
import torch
|
| 8 |
+
|
| 9 |
+
def test_rax_chat():
|
| 10 |
+
print("Loading Rax 3.5 Chat model...")
|
| 11 |
+
|
| 12 |
+
# Load model and tokenizer
|
| 13 |
+
tokenizer = AutoTokenizer.from_pretrained(".")
|
| 14 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 15 |
+
".",
|
| 16 |
+
torch_dtype=torch.bfloat16,
|
| 17 |
+
device_map="auto"
|
| 18 |
+
)
|
| 19 |
+
|
| 20 |
+
print("Model loaded successfully!")
|
| 21 |
+
|
| 22 |
+
# Test conversation
|
| 23 |
+
messages = [
|
| 24 |
+
{"role": "system", "content": "You are Rax, a helpful AI assistant."},
|
| 25 |
+
{"role": "user", "content": "Hello! Can you tell me about yourself?"}
|
| 26 |
+
]
|
| 27 |
+
|
| 28 |
+
# Apply chat template
|
| 29 |
+
input_text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
| 30 |
+
print(f"Input: {input_text}")
|
| 31 |
+
|
| 32 |
+
inputs = tokenizer(input_text, return_tensors="pt")
|
| 33 |
+
|
| 34 |
+
# Generate response
|
| 35 |
+
with torch.no_grad():
|
| 36 |
+
outputs = model.generate(
|
| 37 |
+
**inputs,
|
| 38 |
+
max_new_tokens=128,
|
| 39 |
+
temperature=0.7,
|
| 40 |
+
do_sample=True,
|
| 41 |
+
pad_token_id=tokenizer.eos_token_id
|
| 42 |
+
)
|
| 43 |
+
|
| 44 |
+
response = tokenizer.decode(outputs[0][inputs['input_ids'].shape[1]:], skip_special_tokens=True)
|
| 45 |
+
print(f"Rax: {response}")
|
| 46 |
+
|
| 47 |
+
if __name__ == "__main__":
|
| 48 |
+
test_rax_chat()
|
tokenizer.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
+
size 499723
|
tokenizer_config.json
CHANGED
|
@@ -1,305 +1,41 @@
|
|
| 1 |
{
|
| 2 |
-
|
| 3 |
-
"
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
"special": true
|
| 11 |
-
},
|
| 12 |
-
"248045": {
|
| 13 |
-
"content": "<|im_start|>",
|
| 14 |
-
"lstrip": false,
|
| 15 |
-
"normalized": false,
|
| 16 |
-
"rstrip": false,
|
| 17 |
-
"single_word": false,
|
| 18 |
-
"special": true
|
| 19 |
-
},
|
| 20 |
-
"248046": {
|
| 21 |
-
"content": "<|im_end|>",
|
| 22 |
-
"lstrip": false,
|
| 23 |
-
"normalized": false,
|
| 24 |
-
"rstrip": false,
|
| 25 |
-
"single_word": false,
|
| 26 |
-
"special": true
|
| 27 |
-
},
|
| 28 |
-
"248047": {
|
| 29 |
-
"content": "<|object_ref_start|>",
|
| 30 |
-
"lstrip": false,
|
| 31 |
-
"normalized": false,
|
| 32 |
-
"rstrip": false,
|
| 33 |
-
"single_word": false,
|
| 34 |
-
"special": true
|
| 35 |
-
},
|
| 36 |
-
"248048": {
|
| 37 |
-
"content": "<|object_ref_end|>",
|
| 38 |
-
"lstrip": false,
|
| 39 |
-
"normalized": false,
|
| 40 |
-
"rstrip": false,
|
| 41 |
-
"single_word": false,
|
| 42 |
-
"special": true
|
| 43 |
-
},
|
| 44 |
-
"248049": {
|
| 45 |
-
"content": "<|box_start|>",
|
| 46 |
-
"lstrip": false,
|
| 47 |
-
"normalized": false,
|
| 48 |
-
"rstrip": false,
|
| 49 |
-
"single_word": false,
|
| 50 |
-
"special": true
|
| 51 |
-
},
|
| 52 |
-
"248050": {
|
| 53 |
-
"content": "<|box_end|>",
|
| 54 |
-
"lstrip": false,
|
| 55 |
-
"normalized": false,
|
| 56 |
-
"rstrip": false,
|
| 57 |
-
"single_word": false,
|
| 58 |
-
"special": true
|
| 59 |
-
},
|
| 60 |
-
"248051": {
|
| 61 |
-
"content": "<|quad_start|>",
|
| 62 |
-
"lstrip": false,
|
| 63 |
-
"normalized": false,
|
| 64 |
-
"rstrip": false,
|
| 65 |
-
"single_word": false,
|
| 66 |
-
"special": true
|
| 67 |
-
},
|
| 68 |
-
"248052": {
|
| 69 |
-
"content": "<|quad_end|>",
|
| 70 |
-
"lstrip": false,
|
| 71 |
-
"normalized": false,
|
| 72 |
-
"rstrip": false,
|
| 73 |
-
"single_word": false,
|
| 74 |
-
"special": true
|
| 75 |
-
},
|
| 76 |
-
"248053": {
|
| 77 |
-
"content": "<|vision_start|>",
|
| 78 |
-
"lstrip": false,
|
| 79 |
-
"normalized": false,
|
| 80 |
-
"rstrip": false,
|
| 81 |
-
"single_word": false,
|
| 82 |
-
"special": true
|
| 83 |
-
},
|
| 84 |
-
"248054": {
|
| 85 |
-
"content": "<|vision_end|>",
|
| 86 |
-
"lstrip": false,
|
| 87 |
-
"normalized": false,
|
| 88 |
-
"rstrip": false,
|
| 89 |
-
"single_word": false,
|
| 90 |
-
"special": true
|
| 91 |
-
},
|
| 92 |
-
"248055": {
|
| 93 |
-
"content": "<|vision_pad|>",
|
| 94 |
-
"lstrip": false,
|
| 95 |
-
"normalized": false,
|
| 96 |
-
"rstrip": false,
|
| 97 |
-
"single_word": false,
|
| 98 |
-
"special": true
|
| 99 |
-
},
|
| 100 |
-
"248056": {
|
| 101 |
-
"content": "<|image_pad|>",
|
| 102 |
-
"lstrip": false,
|
| 103 |
-
"normalized": false,
|
| 104 |
-
"rstrip": false,
|
| 105 |
-
"single_word": false,
|
| 106 |
-
"special": true
|
| 107 |
-
},
|
| 108 |
-
"248057": {
|
| 109 |
-
"content": "<|video_pad|>",
|
| 110 |
-
"lstrip": false,
|
| 111 |
-
"normalized": false,
|
| 112 |
-
"rstrip": false,
|
| 113 |
-
"single_word": false,
|
| 114 |
-
"special": true
|
| 115 |
-
},
|
| 116 |
-
"248058": {
|
| 117 |
-
"content": "<tool_call>",
|
| 118 |
-
"lstrip": false,
|
| 119 |
-
"normalized": false,
|
| 120 |
-
"rstrip": false,
|
| 121 |
-
"single_word": false,
|
| 122 |
-
"special": false
|
| 123 |
-
},
|
| 124 |
-
"248059": {
|
| 125 |
-
"content": "</tool_call>",
|
| 126 |
-
"lstrip": false,
|
| 127 |
-
"normalized": false,
|
| 128 |
-
"rstrip": false,
|
| 129 |
-
"single_word": false,
|
| 130 |
-
"special": false
|
| 131 |
-
},
|
| 132 |
-
"248060": {
|
| 133 |
-
"content": "<|fim_prefix|>",
|
| 134 |
-
"lstrip": false,
|
| 135 |
-
"normalized": false,
|
| 136 |
-
"rstrip": false,
|
| 137 |
-
"single_word": false,
|
| 138 |
-
"special": false
|
| 139 |
-
},
|
| 140 |
-
"248061": {
|
| 141 |
-
"content": "<|fim_middle|>",
|
| 142 |
-
"lstrip": false,
|
| 143 |
-
"normalized": false,
|
| 144 |
-
"rstrip": false,
|
| 145 |
-
"single_word": false,
|
| 146 |
-
"special": false
|
| 147 |
-
},
|
| 148 |
-
"248062": {
|
| 149 |
-
"content": "<|fim_suffix|>",
|
| 150 |
-
"lstrip": false,
|
| 151 |
-
"normalized": false,
|
| 152 |
-
"rstrip": false,
|
| 153 |
-
"single_word": false,
|
| 154 |
-
"special": false
|
| 155 |
-
},
|
| 156 |
-
"248063": {
|
| 157 |
-
"content": "<|fim_pad|>",
|
| 158 |
-
"lstrip": false,
|
| 159 |
-
"normalized": false,
|
| 160 |
-
"rstrip": false,
|
| 161 |
-
"single_word": false,
|
| 162 |
-
"special": false
|
| 163 |
-
},
|
| 164 |
-
"248064": {
|
| 165 |
-
"content": "<|repo_name|>",
|
| 166 |
-
"lstrip": false,
|
| 167 |
-
"normalized": false,
|
| 168 |
-
"rstrip": false,
|
| 169 |
-
"single_word": false,
|
| 170 |
-
"special": false
|
| 171 |
-
},
|
| 172 |
-
"248065": {
|
| 173 |
-
"content": "<|file_sep|>",
|
| 174 |
-
"lstrip": false,
|
| 175 |
-
"normalized": false,
|
| 176 |
-
"rstrip": false,
|
| 177 |
-
"single_word": false,
|
| 178 |
-
"special": false
|
| 179 |
-
},
|
| 180 |
-
"248066": {
|
| 181 |
-
"content": "<tool_response>",
|
| 182 |
-
"lstrip": false,
|
| 183 |
-
"normalized": false,
|
| 184 |
-
"rstrip": false,
|
| 185 |
-
"single_word": false,
|
| 186 |
-
"special": false
|
| 187 |
-
},
|
| 188 |
-
"248067": {
|
| 189 |
-
"content": "</tool_response>",
|
| 190 |
-
"lstrip": false,
|
| 191 |
-
"normalized": false,
|
| 192 |
-
"rstrip": false,
|
| 193 |
-
"single_word": false,
|
| 194 |
-
"special": false
|
| 195 |
-
},
|
| 196 |
-
"248068": {
|
| 197 |
-
"content": "<think>",
|
| 198 |
-
"lstrip": false,
|
| 199 |
-
"normalized": false,
|
| 200 |
-
"rstrip": false,
|
| 201 |
-
"single_word": false,
|
| 202 |
-
"special": false
|
| 203 |
-
},
|
| 204 |
-
"248069": {
|
| 205 |
-
"content": "</think>",
|
| 206 |
-
"lstrip": false,
|
| 207 |
-
"normalized": false,
|
| 208 |
-
"rstrip": false,
|
| 209 |
-
"single_word": false,
|
| 210 |
-
"special": false
|
| 211 |
-
},
|
| 212 |
-
"248070": {
|
| 213 |
-
"content": "<|audio_start|>",
|
| 214 |
-
"lstrip": false,
|
| 215 |
-
"normalized": false,
|
| 216 |
-
"rstrip": false,
|
| 217 |
-
"single_word": false,
|
| 218 |
-
"special": true
|
| 219 |
-
},
|
| 220 |
-
"248071": {
|
| 221 |
-
"content": "<|audio_end|>",
|
| 222 |
-
"lstrip": false,
|
| 223 |
-
"normalized": false,
|
| 224 |
-
"rstrip": false,
|
| 225 |
-
"single_word": false,
|
| 226 |
-
"special": true
|
| 227 |
-
},
|
| 228 |
-
"248072": {
|
| 229 |
-
"content": "<tts_pad>",
|
| 230 |
-
"lstrip": false,
|
| 231 |
-
"normalized": false,
|
| 232 |
-
"rstrip": false,
|
| 233 |
-
"single_word": false,
|
| 234 |
-
"special": true
|
| 235 |
-
},
|
| 236 |
-
"248073": {
|
| 237 |
-
"content": "<tts_text_bos>",
|
| 238 |
-
"lstrip": false,
|
| 239 |
-
"normalized": false,
|
| 240 |
-
"rstrip": false,
|
| 241 |
-
"single_word": false,
|
| 242 |
-
"special": true
|
| 243 |
-
},
|
| 244 |
-
"248074": {
|
| 245 |
-
"content": "<tts_text_eod>",
|
| 246 |
-
"lstrip": false,
|
| 247 |
-
"normalized": false,
|
| 248 |
-
"rstrip": false,
|
| 249 |
-
"single_word": false,
|
| 250 |
-
"special": true
|
| 251 |
-
},
|
| 252 |
-
"248075": {
|
| 253 |
-
"content": "<tts_text_bos_single>",
|
| 254 |
-
"lstrip": false,
|
| 255 |
-
"normalized": false,
|
| 256 |
-
"rstrip": false,
|
| 257 |
-
"single_word": false,
|
| 258 |
-
"special": true
|
| 259 |
-
},
|
| 260 |
-
"248076": {
|
| 261 |
-
"content": "<|audio_pad|>",
|
| 262 |
-
"lstrip": false,
|
| 263 |
-
"normalized": false,
|
| 264 |
-
"rstrip": false,
|
| 265 |
-
"single_word": false,
|
| 266 |
-
"special": true
|
| 267 |
-
}
|
| 268 |
},
|
| 269 |
-
"
|
| 270 |
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|
| 271 |
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| 282 |
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| 283 |
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|
| 284 |
-
"bos_token": null,
|
| 285 |
-
"chat_template": "{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n {%- if content is string %}\n {{- content }}\n {%- elif content is iterable and content is not mapping %}\n {%- for item in content %}\n {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain images.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Picture ' ~ image_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n {%- elif 'video' in item or item.type == 'video' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain videos.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Video ' ~ video_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n {%- elif 'text' in item %}\n {{- item.text }}\n {%- else %}\n {{- raise_exception('Unexpected item type in content.') }}\n {%- endif %}\n {%- endfor %}\n {%- elif content is none or content is undefined %}\n {{- '' }}\n {%- else %}\n {{- raise_exception('Unexpected content type.') }}\n {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n {{- '<|im_start|>system\\n' }}\n {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\" }}\n {{- '\\n\\nIf you choose to call a function ONLY reply in the following format with NO suffix:\\n\\n<tool_call>\\n<function=example_function_name>\\n<parameter=example_parameter_1>\\nvalue_1\\n</parameter>\\n<parameter=example_parameter_2>\\nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\n</parameter>\\n</function>\\n</tool_call>\\n\\n<IMPORTANT>\\nReminder:\\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\\n- Required parameters MUST be specified\\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\\n</IMPORTANT>' }}\n {%- if messages[0].role == 'system' %}\n {%- set content = render_content(messages[0].content, false, true)|trim %}\n {%- if content %}\n {{- '\\n\\n' + content }}\n {%- endif %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {%- set content = render_content(messages[0].content, false, true)|trim %}\n {{- '<|im_start|>system\\n' + 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\" %}\n {%- set content = render_content(message.content, false)|trim %}\n {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if ns.multi_step_tool %}\n {{- raise_exception('No user query found in messages.') }}\n{%- endif %}\n{%- for message in messages %}\n {%- set content = render_content(message.content, true)|trim %}\n {%- if message.role == \"system\" %}\n {%- if not loop.first %}\n {{- raise_exception('System message must be at the beginning.') }}\n {%- endif %}\n {%- elif message.role == \"user\" %}\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 {%- set reasoning_content = reasoning_content|trim %}\n {%- if loop.index0 > ns.last_query_index %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\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 {%- if loop.first %}\n {%- if content|trim %}\n {{- '\\n\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- else %}\n {{- '<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- else %}\n {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- if tool_call.arguments is defined %}\n {%- for args_name, args_value in tool_call.arguments|items %}\n {{- '<parameter=' + args_name + '>\\n' }}\n {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}\n {{- args_value }}\n {{- '\\n</parameter>\\n' }}\n {%- endfor %}\n {%- endif %}\n {{- '</function>\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{- '<|im_end|>\\n' }}\n {%- elif loop.last %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- else %}\n {{- raise_exception('Unexpected message role.') }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is true %}\n {{- '<think>\\n' }}\n {%- else %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
|
| 286 |
-
"clean_up_tokenization_spaces": false,
|
| 287 |
-
"eos_token": "<|im_end|>",
|
| 288 |
-
"errors": "replace",
|
| 289 |
-
"model_max_length": 262144,
|
| 290 |
-
"pad_token": "<|endoftext|>",
|
| 291 |
-
"split_special_tokens": false,
|
| 292 |
-
"tokenizer_class": "Qwen2Tokenizer",
|
| 293 |
-
"unk_token": null,
|
| 294 |
-
"add_bos_token": false,
|
| 295 |
-
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 296 |
-
"extra_special_tokens": {
|
| 297 |
-
"audio_bos_token": "<|audio_start|>",
|
| 298 |
-
"audio_eos_token": "<|audio_end|>",
|
| 299 |
-
"audio_token": "<|audio_pad|>",
|
| 300 |
-
"image_token": "<|image_pad|>",
|
| 301 |
-
"video_token": "<|video_pad|>",
|
| 302 |
-
"vision_bos_token": "<|vision_start|>",
|
| 303 |
-
"vision_eos_token": "<|vision_end|>"
|
| 304 |
}
|
| 305 |
-
}
|
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|
| 1 |
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<unk>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
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|
| 10 |
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<s>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
|
|
|
|
|
|
|
|
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|
|
| 26 |
}
|
| 27 |
+
},
|
| 28 |
+
"bos_token": "<s>",
|
| 29 |
+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
| 30 |
+
"clean_up_tokenization_spaces": false,
|
| 31 |
+
"eos_token": "</s>",
|
| 32 |
+
"legacy": false,
|
| 33 |
+
"model_max_length": 2048,
|
| 34 |
+
"name_or_path": "rax-3.5-chat",
|
| 35 |
+
"pad_token": "</s>",
|
| 36 |
+
"padding_side": "right",
|
| 37 |
+
"sp_model_kwargs": {},
|
| 38 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 39 |
+
"unk_token": "<unk>",
|
| 40 |
+
"use_default_system_prompt": false
|
| 41 |
+
}
|
video_preprocessor_config.json
DELETED
|
@@ -1,21 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"size": {
|
| 3 |
-
"longest_edge": 25165824,
|
| 4 |
-
"shortest_edge": 4096
|
| 5 |
-
},
|
| 6 |
-
"patch_size": 16,
|
| 7 |
-
"temporal_patch_size": 2,
|
| 8 |
-
"merge_size": 2,
|
| 9 |
-
"image_mean": [
|
| 10 |
-
0.5,
|
| 11 |
-
0.5,
|
| 12 |
-
0.5
|
| 13 |
-
],
|
| 14 |
-
"image_std": [
|
| 15 |
-
0.5,
|
| 16 |
-
0.5,
|
| 17 |
-
0.5
|
| 18 |
-
],
|
| 19 |
-
"processor_class": "Qwen3VLProcessor",
|
| 20 |
-
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 21 |
-
}
|
|
|
|
|
|
|
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|
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|
vocab.json
DELETED
|
The diff for this file is too large to render.
See raw diff
|
|
|