Instructions to use ex0pired/0122_lora_latent_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ex0pired/0122_lora_latent_train with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-VL-2B-Instruct") model = PeftModel.from_pretrained(base_model, "ex0pired/0122_lora_latent_train") - Transformers
How to use ex0pired/0122_lora_latent_train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ex0pired/0122_lora_latent_train") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ex0pired/0122_lora_latent_train", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ex0pired/0122_lora_latent_train with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ex0pired/0122_lora_latent_train" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ex0pired/0122_lora_latent_train", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/ex0pired/0122_lora_latent_train
- SGLang
How to use ex0pired/0122_lora_latent_train with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "ex0pired/0122_lora_latent_train" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ex0pired/0122_lora_latent_train", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "ex0pired/0122_lora_latent_train" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ex0pired/0122_lora_latent_train", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use ex0pired/0122_lora_latent_train with Docker Model Runner:
docker model run hf.co/ex0pired/0122_lora_latent_train
Add files using upload-large-folder tool
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
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| 1 |
+
---
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| 2 |
+
base_model: Qwen/Qwen3-VL-2B-Instruct
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| 3 |
+
library_name: peft
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+
pipeline_tag: text-generation
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| 5 |
+
tags:
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| 6 |
+
- base_model:adapter:Qwen/Qwen3-VL-2B-Instruct
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| 7 |
+
- llama-factory
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| 8 |
+
- lora
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| 9 |
+
- transformers
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| 10 |
+
---
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| 11 |
+
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| 12 |
+
# Model Card for Model ID
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| 13 |
+
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| 14 |
+
<!-- Provide a quick summary of what the model is/does. -->
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| 15 |
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| 16 |
+
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| 17 |
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| 18 |
+
## Model Details
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| 19 |
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| 20 |
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### Model Description
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| 21 |
+
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| 22 |
+
<!-- Provide a longer summary of what this model is. -->
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| 23 |
+
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| 24 |
+
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| 25 |
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| 26 |
+
- **Developed by:** [More Information Needed]
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| 27 |
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- **Funded by [optional]:** [More Information Needed]
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| 28 |
+
- **Shared by [optional]:** [More Information Needed]
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| 29 |
+
- **Model type:** [More Information Needed]
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| 30 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 31 |
+
- **License:** [More Information Needed]
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| 32 |
+
- **Finetuned from model [optional]:** [More Information Needed]
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| 33 |
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### Model Sources [optional]
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| 35 |
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<!-- Provide the basic links for the model. -->
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| 37 |
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| 38 |
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- **Repository:** [More Information Needed]
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| 39 |
+
- **Paper [optional]:** [More Information Needed]
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| 40 |
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- **Demo [optional]:** [More Information Needed]
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| 41 |
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| 42 |
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## Uses
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| 43 |
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| 44 |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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| 45 |
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| 46 |
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### Direct Use
|
| 47 |
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| 48 |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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| 49 |
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| 50 |
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[More Information Needed]
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| 51 |
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| 52 |
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### Downstream Use [optional]
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| 53 |
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| 54 |
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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| 55 |
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| 56 |
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[More Information Needed]
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| 57 |
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|
| 58 |
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### Out-of-Scope Use
|
| 59 |
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|
| 60 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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| 61 |
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| 62 |
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[More Information Needed]
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| 63 |
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|
| 64 |
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## Bias, Risks, and Limitations
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| 65 |
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| 66 |
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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| 67 |
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| 68 |
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[More Information Needed]
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| 69 |
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| 70 |
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### Recommendations
|
| 71 |
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| 72 |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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| 73 |
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|
| 74 |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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| 75 |
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| 76 |
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## How to Get Started with the Model
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| 77 |
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| 78 |
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Use the code below to get started with the model.
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| 79 |
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| 80 |
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[More Information Needed]
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| 81 |
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| 82 |
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## Training Details
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| 83 |
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| 84 |
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### Training Data
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| 85 |
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| 86 |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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| 87 |
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| 88 |
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[More Information Needed]
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| 89 |
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| 90 |
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### Training Procedure
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| 91 |
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| 92 |
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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| 93 |
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#### Preprocessing [optional]
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| 95 |
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| 96 |
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[More Information Needed]
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| 98 |
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| 99 |
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#### Training Hyperparameters
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| 100 |
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| 101 |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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| 102 |
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| 103 |
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#### Speeds, Sizes, Times [optional]
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| 104 |
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| 105 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 106 |
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| 107 |
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[More Information Needed]
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| 108 |
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| 109 |
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## Evaluation
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| 110 |
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| 111 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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| 112 |
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| 113 |
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### Testing Data, Factors & Metrics
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| 114 |
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| 115 |
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#### Testing Data
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| 116 |
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|
| 117 |
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<!-- This should link to a Dataset Card if possible. -->
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| 118 |
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| 119 |
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[More Information Needed]
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| 120 |
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| 121 |
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#### Factors
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| 122 |
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| 123 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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| 124 |
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| 125 |
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[More Information Needed]
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| 126 |
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| 127 |
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#### Metrics
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| 128 |
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| 129 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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| 130 |
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| 131 |
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[More Information Needed]
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| 132 |
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| 133 |
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### Results
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| 134 |
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| 135 |
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[More Information Needed]
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| 136 |
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| 137 |
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#### Summary
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| 138 |
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| 139 |
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| 140 |
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| 141 |
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## Model Examination [optional]
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| 142 |
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| 143 |
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<!-- Relevant interpretability work for the model goes here -->
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| 144 |
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| 145 |
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[More Information Needed]
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| 146 |
+
|
| 147 |
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## Environmental Impact
|
| 148 |
+
|
| 149 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 150 |
+
|
| 151 |
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 152 |
+
|
| 153 |
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- **Hardware Type:** [More Information Needed]
|
| 154 |
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- **Hours used:** [More Information Needed]
|
| 155 |
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- **Cloud Provider:** [More Information Needed]
|
| 156 |
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- **Compute Region:** [More Information Needed]
|
| 157 |
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- **Carbon Emitted:** [More Information Needed]
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| 158 |
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| 159 |
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## Technical Specifications [optional]
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| 160 |
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| 161 |
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### Model Architecture and Objective
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| 162 |
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| 163 |
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[More Information Needed]
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| 164 |
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| 165 |
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### Compute Infrastructure
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| 166 |
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| 167 |
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[More Information Needed]
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| 168 |
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| 169 |
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#### Hardware
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| 170 |
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| 171 |
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[More Information Needed]
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| 172 |
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| 173 |
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#### Software
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| 174 |
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| 175 |
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[More Information Needed]
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| 176 |
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| 177 |
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## Citation [optional]
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| 178 |
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| 179 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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| 180 |
+
|
| 181 |
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**BibTeX:**
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| 182 |
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| 183 |
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[More Information Needed]
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| 184 |
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| 185 |
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**APA:**
|
| 186 |
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| 187 |
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[More Information Needed]
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| 188 |
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|
| 189 |
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## Glossary [optional]
|
| 190 |
+
|
| 191 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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| 192 |
+
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| 193 |
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[More Information Needed]
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| 194 |
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| 195 |
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## More Information [optional]
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| 196 |
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[More Information Needed]
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## Model Card Authors [optional]
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| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
|
| 203 |
+
## Model Card Contact
|
| 204 |
+
|
| 205 |
+
[More Information Needed]
|
| 206 |
+
### Framework versions
|
| 207 |
+
|
| 208 |
+
- PEFT 0.17.1
|
checkpoint-30000/adapter_config.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "Qwen/Qwen3-VL-2B-Instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 32,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.0,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": [
|
| 22 |
+
"embed_tokens",
|
| 23 |
+
"lm_head"
|
| 24 |
+
],
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"qalora_group_size": 16,
|
| 27 |
+
"r": 16,
|
| 28 |
+
"rank_pattern": {},
|
| 29 |
+
"revision": null,
|
| 30 |
+
"target_modules": [
|
| 31 |
+
"k_proj",
|
| 32 |
+
"up_proj",
|
| 33 |
+
"q_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
+
"down_proj",
|
| 36 |
+
"o_proj",
|
| 37 |
+
"gate_proj"
|
| 38 |
+
],
|
| 39 |
+
"target_parameters": null,
|
| 40 |
+
"task_type": "CAUSAL_LM",
|
| 41 |
+
"trainable_token_indices": null,
|
| 42 |
+
"use_dora": false,
|
| 43 |
+
"use_qalora": false,
|
| 44 |
+
"use_rslora": false
|
| 45 |
+
}
|
checkpoint-30000/added_tokens.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</think>": 151668,
|
| 3 |
+
"</tool_call>": 151658,
|
| 4 |
+
"</tool_response>": 151666,
|
| 5 |
+
"<LAT0>": 151670,
|
| 6 |
+
"<LAT1>": 151671,
|
| 7 |
+
"<LAT2>": 151672,
|
| 8 |
+
"<LAT3>": 151673,
|
| 9 |
+
"<LAT4>": 151674,
|
| 10 |
+
"<LAT5>": 151675,
|
| 11 |
+
"<LAT6>": 151676,
|
| 12 |
+
"<LAT7>": 151677,
|
| 13 |
+
"<LAT_EOS>": 151678,
|
| 14 |
+
"<query>": 151669,
|
| 15 |
+
"<think>": 151667,
|
| 16 |
+
"<tool_call>": 151657,
|
| 17 |
+
"<tool_response>": 151665,
|
| 18 |
+
"<|box_end|>": 151649,
|
| 19 |
+
"<|box_start|>": 151648,
|
| 20 |
+
"<|endoftext|>": 151643,
|
| 21 |
+
"<|file_sep|>": 151664,
|
| 22 |
+
"<|fim_middle|>": 151660,
|
| 23 |
+
"<|fim_pad|>": 151662,
|
| 24 |
+
"<|fim_prefix|>": 151659,
|
| 25 |
+
"<|fim_suffix|>": 151661,
|
| 26 |
+
"<|im_end|>": 151645,
|
| 27 |
+
"<|im_start|>": 151644,
|
| 28 |
+
"<|image_pad|>": 151655,
|
| 29 |
+
"<|object_ref_end|>": 151647,
|
| 30 |
+
"<|object_ref_start|>": 151646,
|
| 31 |
+
"<|quad_end|>": 151651,
|
| 32 |
+
"<|quad_start|>": 151650,
|
| 33 |
+
"<|repo_name|>": 151663,
|
| 34 |
+
"<|video_pad|>": 151656,
|
| 35 |
+
"<|vision_end|>": 151653,
|
| 36 |
+
"<|vision_pad|>": 151654,
|
| 37 |
+
"<|vision_start|>": 151652
|
| 38 |
+
}
|
checkpoint-30000/chat_template.jinja
ADDED
|
@@ -0,0 +1,120 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{%- if messages[0].content is string %}
|
| 5 |
+
{{- messages[0].content }}
|
| 6 |
+
{%- else %}
|
| 7 |
+
{%- for content in messages[0].content %}
|
| 8 |
+
{%- if 'text' in content %}
|
| 9 |
+
{{- content.text }}
|
| 10 |
+
{%- endif %}
|
| 11 |
+
{%- endfor %}
|
| 12 |
+
{%- endif %}
|
| 13 |
+
{{- '\n\n' }}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{{- "# 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>" }}
|
| 16 |
+
{%- for tool in tools %}
|
| 17 |
+
{{- "\n" }}
|
| 18 |
+
{{- tool | tojson }}
|
| 19 |
+
{%- endfor %}
|
| 20 |
+
{{- "\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" }}
|
| 21 |
+
{%- else %}
|
| 22 |
+
{%- if messages[0].role == 'system' %}
|
| 23 |
+
{{- '<|im_start|>system\n' }}
|
| 24 |
+
{%- if messages[0].content is string %}
|
| 25 |
+
{{- messages[0].content }}
|
| 26 |
+
{%- else %}
|
| 27 |
+
{%- for content in messages[0].content %}
|
| 28 |
+
{%- if 'text' in content %}
|
| 29 |
+
{{- content.text }}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- endfor %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '<|im_end|>\n' }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endif %}
|
| 36 |
+
{%- set image_count = namespace(value=0) %}
|
| 37 |
+
{%- set video_count = namespace(value=0) %}
|
| 38 |
+
{%- for message in messages %}
|
| 39 |
+
{%- if message.role == "user" %}
|
| 40 |
+
{{- '<|im_start|>' + message.role + '\n' }}
|
| 41 |
+
{%- if message.content is string %}
|
| 42 |
+
{{- message.content }}
|
| 43 |
+
{%- else %}
|
| 44 |
+
{%- for content in message.content %}
|
| 45 |
+
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
| 46 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 47 |
+
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
| 48 |
+
<|vision_start|><|image_pad|><|vision_end|>
|
| 49 |
+
{%- elif content.type == 'video' or 'video' in content %}
|
| 50 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 51 |
+
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
| 52 |
+
<|vision_start|><|video_pad|><|vision_end|>
|
| 53 |
+
{%- elif 'text' in content %}
|
| 54 |
+
{{- content.text }}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{%- endfor %}
|
| 57 |
+
{%- endif %}
|
| 58 |
+
{{- '<|im_end|>\n' }}
|
| 59 |
+
{%- elif message.role == "assistant" %}
|
| 60 |
+
{{- '<|im_start|>' + message.role + '\n' }}
|
| 61 |
+
{%- if message.content is string %}
|
| 62 |
+
{{- message.content }}
|
| 63 |
+
{%- else %}
|
| 64 |
+
{%- for content_item in message.content %}
|
| 65 |
+
{%- if 'text' in content_item %}
|
| 66 |
+
{{- content_item.text }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{%- endfor %}
|
| 69 |
+
{%- endif %}
|
| 70 |
+
{%- if message.tool_calls %}
|
| 71 |
+
{%- for tool_call in message.tool_calls %}
|
| 72 |
+
{%- if (loop.first and message.content) or (not loop.first) %}
|
| 73 |
+
{{- '\n' }}
|
| 74 |
+
{%- endif %}
|
| 75 |
+
{%- if tool_call.function %}
|
| 76 |
+
{%- set tool_call = tool_call.function %}
|
| 77 |
+
{%- endif %}
|
| 78 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 79 |
+
{{- tool_call.name }}
|
| 80 |
+
{{- '", "arguments": ' }}
|
| 81 |
+
{%- if tool_call.arguments is string %}
|
| 82 |
+
{{- tool_call.arguments }}
|
| 83 |
+
{%- else %}
|
| 84 |
+
{{- tool_call.arguments | tojson }}
|
| 85 |
+
{%- endif %}
|
| 86 |
+
{{- '}\n</tool_call>' }}
|
| 87 |
+
{%- endfor %}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{{- '<|im_end|>\n' }}
|
| 90 |
+
{%- elif message.role == "tool" %}
|
| 91 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 92 |
+
{{- '<|im_start|>user' }}
|
| 93 |
+
{%- endif %}
|
| 94 |
+
{{- '\n<tool_response>\n' }}
|
| 95 |
+
{%- if message.content is string %}
|
| 96 |
+
{{- message.content }}
|
| 97 |
+
{%- else %}
|
| 98 |
+
{%- for content in message.content %}
|
| 99 |
+
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
| 100 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 101 |
+
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
| 102 |
+
<|vision_start|><|image_pad|><|vision_end|>
|
| 103 |
+
{%- elif content.type == 'video' or 'video' in content %}
|
| 104 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 105 |
+
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
| 106 |
+
<|vision_start|><|video_pad|><|vision_end|>
|
| 107 |
+
{%- elif 'text' in content %}
|
| 108 |
+
{{- content.text }}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- endfor %}
|
| 111 |
+
{%- endif %}
|
| 112 |
+
{{- '\n</tool_response>' }}
|
| 113 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 114 |
+
{{- '<|im_end|>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- endif %}
|
| 117 |
+
{%- endfor %}
|
| 118 |
+
{%- if add_generation_prompt %}
|
| 119 |
+
{{- '<|im_start|>assistant\n' }}
|
| 120 |
+
{%- endif %}
|
checkpoint-30000/checkpoint-30000_eval.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-30000/checkpoint-30000_eval_skip_gneration.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-30000/embedding_vis/checkpoint-30000/000001_v_Jl2lDgcsvmA.csv
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
label,doc_id,video_id,x,y
|
| 2 |
+
student,,v_Jl2lDgcsvmA,-0.012612,0.131885
|
| 3 |
+
pos,v_xSWpGhhM1H8,v_xSWpGhhM1H8,0.663307,0.105445
|
| 4 |
+
topk,v_Jl2lDgcsvmA,v_Jl2lDgcsvmA,-0.162420,0.164901
|
| 5 |
+
topk,v_6VT2jBflMAM,v_6VT2jBflMAM,-0.187327,0.251472
|
| 6 |
+
topk,v_sC7xUkNTpP4,v_sC7xUkNTpP4,-0.241042,-0.077251
|
| 7 |
+
topk,v_lQWij22wbNU,v_lQWij22wbNU,-0.211430,-0.204812
|
| 8 |
+
topk,v_uID_HFDKFKw,v_uID_HFDKFKw,0.151524,-0.371641
|
checkpoint-30000/embedding_vis/checkpoint-30000/000007_v_T7fzZX0qKKQ.png
ADDED
|
checkpoint-30000/embedding_vis/checkpoint-30000/000025_v_H1bmoIihWwo.csv
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
label,doc_id,video_id,x,y
|
| 2 |
+
student,,v_H1bmoIihWwo,0.002763,-0.003175
|
| 3 |
+
pos,v_PT4x_Y5lu_g,v_PT4x_Y5lu_g,-0.522514,0.080062
|
| 4 |
+
topk,v_H1bmoIihWwo,v_H1bmoIihWwo,0.031201,-0.149380
|
| 5 |
+
topk,v_AdP2aMo6OgY,v_AdP2aMo6OgY,0.085401,0.197157
|
| 6 |
+
topk,v_p0menuS7Mlk,v_p0menuS7Mlk,0.016254,-0.288535
|
| 7 |
+
topk,v_y0Kio7VOk5o,v_y0Kio7VOk5o,0.181112,-0.025700
|
| 8 |
+
topk,v_rprQvEVVpIc,v_rprQvEVVpIc,0.205782,0.189571
|
checkpoint-30000/embedding_vis/checkpoint-30000/000037_v_QHn9KyE-zZo.csv
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
label,doc_id,video_id,x,y
|
| 2 |
+
student,,v_QHn9KyE-zZo,-0.134699,0.254596
|
| 3 |
+
pos,v_73AGD3RWPEw,v_73AGD3RWPEw,-0.306276,0.087621
|
| 4 |
+
topk,v__D9oML1HvVw,v__D9oML1HvVw,0.136371,0.004598
|
| 5 |
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topk,v_SSoHwNbASQQ,v_SSoHwNbASQQ,-0.070495,-0.186120
|
| 6 |
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topk,v_QHn9KyE-zZo,v_QHn9KyE-zZo,-0.016602,-0.169577
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| 7 |
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topk,v_VR19Scunfhg,v_VR19Scunfhg,0.296762,0.216644
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| 8 |
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topk,v_aw4ehW-wTKA,v_aw4ehW-wTKA,0.094937,-0.207763
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checkpoint-30000/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-30000/preprocessor_config.json
ADDED
|
@@ -0,0 +1,39 @@
|
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|
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|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"crop_size": null,
|
| 3 |
+
"data_format": "channels_first",
|
| 4 |
+
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|
| 5 |
+
"device": null,
|
| 6 |
+
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|
| 7 |
+
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|
| 8 |
+
"do_convert_rgb": true,
|
| 9 |
+
"do_normalize": true,
|
| 10 |
+
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|
| 11 |
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"do_rescale": true,
|
| 12 |
+
"do_resize": true,
|
| 13 |
+
"image_mean": [
|
| 14 |
+
0.5,
|
| 15 |
+
0.5,
|
| 16 |
+
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|
| 17 |
+
],
|
| 18 |
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"image_processor_type": "Qwen2VLImageProcessorFast",
|
| 19 |
+
"image_std": [
|
| 20 |
+
0.5,
|
| 21 |
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0.5,
|
| 22 |
+
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|
| 23 |
+
],
|
| 24 |
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|
| 25 |
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|
| 26 |
+
"merge_size": 2,
|
| 27 |
+
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|
| 28 |
+
"pad_size": null,
|
| 29 |
+
"patch_size": 16,
|
| 30 |
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"processor_class": "Qwen3VLProcessor",
|
| 31 |
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"resample": 3,
|
| 32 |
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"rescale_factor": 0.00392156862745098,
|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
+
},
|
| 38 |
+
"temporal_patch_size": 2
|
| 39 |
+
}
|
checkpoint-30000/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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"<|quad_start|>",
|
| 10 |
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"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
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|
| 13 |
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"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
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"<|video_pad|>"
|
| 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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|
checkpoint-30000/vocab.json
ADDED
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The diff for this file is too large to render.
See raw diff
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|
|
checkpoint-9000/embedding_vis/checkpoint-9000/000000_v_xSWpGhhM1H8.csv
ADDED
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|
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|
|
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|
|
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|
|
|
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|
| 1 |
+
label,doc_id,video_id,x,y
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| 2 |
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student,,v_xSWpGhhM1H8,-0.124616,0.039263
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| 5 |
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topk,v_8YKUwWUU-O0,v_8YKUwWUU-O0,0.152275,-0.070128
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topk,v_mFWRIp164r4,v_mFWRIp164r4,0.122308,0.171456
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topk,v_XELYXH6fqeA,v_XELYXH6fqeA,0.108973,0.239155
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checkpoint-9000/embedding_vis/checkpoint-9000/000000_v_xSWpGhhM1H8.png
ADDED
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checkpoint-9000/embedding_vis/checkpoint-9000/000001_v_Jl2lDgcsvmA.png
ADDED
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checkpoint-9000/embedding_vis/checkpoint-9000/000002_v_ymJTN8aKZEw.csv
ADDED
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@@ -0,0 +1,8 @@
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|
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|
| 1 |
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label,doc_id,video_id,x,y
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topk,v_ymJTN8aKZEw,v_ymJTN8aKZEw,0.019799,-0.164757
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checkpoint-9000/embedding_vis/checkpoint-9000/000002_v_ymJTN8aKZEw.png
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checkpoint-9000/embedding_vis/checkpoint-9000/000003_v_dP2DgvNt12Y.csv
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checkpoint-9000/embedding_vis/checkpoint-9000/000004_v_6VT2jBflMAM.csv
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label,doc_id,video_id,x,y
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checkpoint-9000/embedding_vis/checkpoint-9000/000005_v_gqK_jApRT5E.csv
ADDED
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label,doc_id,video_id,x,y
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checkpoint-9000/embedding_vis/checkpoint-9000/000005_v_gqK_jApRT5E.png
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checkpoint-9000/embedding_vis/checkpoint-9000/000006_v_xIhTY02lRSE.png
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checkpoint-9000/embedding_vis/checkpoint-9000/000007_v_T7fzZX0qKKQ.csv
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checkpoint-9000/embedding_vis/checkpoint-9000/000008_v_RHpigjSwhVM.csv
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student,,v_RHpigjSwhVM,-0.069803,-0.090264
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checkpoint-9000/embedding_vis/checkpoint-9000/000009_v_vrXqd_Ct298.csv
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label,doc_id,video_id,x,y
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checkpoint-9000/embedding_vis/checkpoint-9000/000010_v_UqSjGwxBuqA.png
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checkpoint-9000/embedding_vis/checkpoint-9000/000011_v_l4UJiGsZVfE.csv
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checkpoint-9000/embedding_vis/checkpoint-9000/000011_v_l4UJiGsZVfE.png
ADDED
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checkpoint-9000/embedding_vis/checkpoint-9000/000012_v_dgas2Fku3No.csv
ADDED
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@@ -0,0 +1,8 @@
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|
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|
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|
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|
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|
|
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|
| 1 |
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label,doc_id,video_id,x,y
|
| 2 |
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student,,v_dgas2Fku3No,-0.082377,-0.084770
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topk,v_FfYNkePtHjo,v_FfYNkePtHjo,0.215580,-0.185065
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checkpoint-9000/embedding_vis/checkpoint-9000/000013_v_eS1r2Qi0qUM.csv
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|
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checkpoint-9000/embedding_vis/checkpoint-9000/000015_v_ooCciCGrdcA.png
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checkpoint-9000/embedding_vis/checkpoint-9000/000016_v_FfYNkePtHjo.csv
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| 1 |
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label,doc_id,video_id,x,y
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checkpoint-9000/embedding_vis/checkpoint-9000/000016_v_FfYNkePtHjo.png
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label,doc_id,video_id,x,y
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checkpoint-9000/embedding_vis/checkpoint-9000/000018_v_Jx4GCjGARqs.csv
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| 1 |
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label,doc_id,video_id,x,y
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checkpoint-9000/embedding_vis/checkpoint-9000/000018_v_Jx4GCjGARqs.png
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|
| 1 |
+
label,doc_id,video_id,x,y
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checkpoint-9000/embedding_vis/checkpoint-9000/000020_v_oIEDMaMo7UE.csv
ADDED
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|
| 1 |
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label,doc_id,video_id,x,y
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checkpoint-9000/embedding_vis/checkpoint-9000/000020_v_oIEDMaMo7UE.png
ADDED
|
checkpoint-9000/embedding_vis/checkpoint-9000/000021_v_qN0a8-A-5Pg.csv
ADDED
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@@ -0,0 +1,8 @@
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|
|
|
|
|
| 1 |
+
label,doc_id,video_id,x,y
|
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