Instructions to use madhuHuggingface/functiongemma-vpc-finetunedv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use madhuHuggingface/functiongemma-vpc-finetunedv2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("madhuHuggingface/functiongemma-vpc-finetunedv2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio
How to use madhuHuggingface/functiongemma-vpc-finetunedv2 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for madhuHuggingface/functiongemma-vpc-finetunedv2 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for madhuHuggingface/functiongemma-vpc-finetunedv2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for madhuHuggingface/functiongemma-vpc-finetunedv2 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="madhuHuggingface/functiongemma-vpc-finetunedv2", max_seq_length=2048, )
Training in progress, step 100, checkpoint
Browse files- last-checkpoint/README.md +210 -0
- last-checkpoint/adapter_config.json +50 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/added_tokens.json +4 -0
- last-checkpoint/chat_template.jinja +282 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +34 -0
- last-checkpoint/tokenizer.json +3 -0
- last-checkpoint/tokenizer.model +3 -0
- last-checkpoint/tokenizer_config.json +0 -0
- last-checkpoint/trainer_state.json +104 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
ADDED
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| 1 |
+
---
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| 2 |
+
base_model: unsloth/functiongemma-270m-it
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| 3 |
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- base_model:adapter:unsloth/functiongemma-270m-it
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- lora
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| 8 |
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- sft
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| 9 |
+
- transformers
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- trl
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| 11 |
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- unsloth
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| 12 |
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---
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| 13 |
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| 14 |
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# Model Card for Model ID
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| 15 |
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<!-- Provide a quick summary of what the model is/does. -->
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| 18 |
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## Model Details
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### Model Description
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| 23 |
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<!-- Provide a longer summary of what this model is. -->
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| 25 |
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| 26 |
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| 28 |
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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| 30 |
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- **Shared by [optional]:** [More Information Needed]
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| 31 |
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- **Model type:** [More Information Needed]
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| 32 |
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- **Language(s) (NLP):** [More Information Needed]
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| 33 |
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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| 37 |
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| 38 |
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<!-- Provide the basic links for the model. -->
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| 39 |
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| 40 |
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- **Repository:** [More Information Needed]
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| 41 |
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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| 43 |
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| 44 |
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## Uses
|
| 45 |
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| 46 |
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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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### Direct Use
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| 49 |
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| 50 |
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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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| 51 |
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[More Information Needed]
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| 53 |
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|
| 54 |
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### Downstream Use [optional]
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| 55 |
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| 56 |
+
<!-- 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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| 57 |
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[More Information Needed]
|
| 59 |
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| 60 |
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### Out-of-Scope Use
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| 61 |
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| 62 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 63 |
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| 64 |
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[More Information Needed]
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| 65 |
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| 66 |
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## Bias, Risks, and Limitations
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| 67 |
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| 68 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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| 69 |
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| 70 |
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[More Information Needed]
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| 71 |
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| 72 |
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### Recommendations
|
| 73 |
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| 74 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 75 |
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|
| 76 |
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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.
|
| 77 |
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|
| 78 |
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## How to Get Started with the Model
|
| 79 |
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|
| 80 |
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Use the code below to get started with the model.
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| 81 |
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|
| 82 |
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[More Information Needed]
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| 83 |
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| 84 |
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## Training Details
|
| 85 |
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|
| 86 |
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### Training Data
|
| 87 |
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|
| 88 |
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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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| 90 |
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[More Information Needed]
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| 91 |
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| 92 |
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### Training Procedure
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| 93 |
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| 94 |
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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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#### Preprocessing [optional]
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| 98 |
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[More Information Needed]
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| 100 |
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#### Training Hyperparameters
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| 102 |
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| 103 |
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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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| 104 |
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|
| 105 |
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#### Speeds, Sizes, Times [optional]
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| 106 |
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| 107 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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| 111 |
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## Evaluation
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| 112 |
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| 113 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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| 118 |
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| 119 |
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<!-- This should link to a Dataset Card if possible. -->
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| 121 |
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[More Information Needed]
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| 122 |
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| 123 |
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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| 127 |
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[More Information Needed]
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| 128 |
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| 129 |
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#### Metrics
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| 130 |
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| 131 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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| 144 |
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<!-- Relevant interpretability work for the model goes here -->
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| 147 |
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[More Information Needed]
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| 148 |
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| 149 |
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## Environmental Impact
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| 150 |
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|
| 151 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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| 152 |
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| 153 |
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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).
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| 154 |
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| 155 |
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- **Hardware Type:** [More Information Needed]
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| 156 |
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- **Hours used:** [More Information Needed]
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| 157 |
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- **Cloud Provider:** [More Information Needed]
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| 158 |
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- **Compute Region:** [More Information Needed]
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| 159 |
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- **Carbon Emitted:** [More Information Needed]
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| 160 |
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| 161 |
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## Technical Specifications [optional]
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| 162 |
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### Model Architecture and Objective
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| 164 |
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[More Information Needed]
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### Compute Infrastructure
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| 168 |
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[More Information Needed]
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| 170 |
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#### Hardware
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| 172 |
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[More Information Needed]
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#### Software
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[More Information Needed]
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| 178 |
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| 179 |
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## Citation [optional]
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| 180 |
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| 181 |
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<!-- 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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| 182 |
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**BibTeX:**
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| 184 |
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[More Information Needed]
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| 186 |
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| 187 |
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**APA:**
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| 188 |
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| 189 |
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[More Information Needed]
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| 190 |
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| 191 |
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## Glossary [optional]
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| 192 |
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|
| 193 |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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| 194 |
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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| 208 |
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### Framework versions
|
| 209 |
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| 210 |
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- PEFT 0.18.1
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last-checkpoint/adapter_config.json
ADDED
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@@ -0,0 +1,50 @@
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{
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| 2 |
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"alora_invocation_tokens": null,
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| 3 |
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"alpha_pattern": {},
|
| 4 |
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"arrow_config": null,
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| 5 |
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"auto_mapping": {
|
| 6 |
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"base_model_class": "Gemma3ForCausalLM",
|
| 7 |
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"parent_library": "transformers.models.gemma3.modeling_gemma3",
|
| 8 |
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"unsloth_fixed": true
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| 9 |
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},
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| 10 |
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"base_model_name_or_path": "unsloth/functiongemma-270m-it",
|
| 11 |
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"bias": "none",
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| 12 |
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"corda_config": null,
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| 13 |
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"ensure_weight_tying": false,
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| 14 |
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"eva_config": null,
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| 15 |
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"exclude_modules": null,
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| 16 |
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"fan_in_fan_out": false,
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| 17 |
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"inference_mode": true,
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| 18 |
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"init_lora_weights": true,
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| 19 |
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"layer_replication": null,
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| 20 |
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"layers_pattern": null,
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| 21 |
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"layers_to_transform": null,
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| 22 |
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"loftq_config": {},
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| 23 |
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"lora_alpha": 256,
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| 24 |
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"lora_bias": false,
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| 25 |
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"lora_dropout": 0,
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| 26 |
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"megatron_config": null,
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| 27 |
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"megatron_core": "megatron.core",
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| 28 |
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"modules_to_save": null,
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| 29 |
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"peft_type": "LORA",
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| 30 |
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"peft_version": "0.18.1",
|
| 31 |
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"qalora_group_size": 16,
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| 32 |
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"r": 128,
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| 33 |
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"rank_pattern": {},
|
| 34 |
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"revision": null,
|
| 35 |
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"target_modules": [
|
| 36 |
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"down_proj",
|
| 37 |
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"gate_proj",
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| 38 |
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"k_proj",
|
| 39 |
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"q_proj",
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| 40 |
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"up_proj",
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| 41 |
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"v_proj",
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| 42 |
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"o_proj"
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| 43 |
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],
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| 44 |
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"target_parameters": null,
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| 45 |
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"task_type": "CAUSAL_LM",
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| 46 |
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"trainable_token_indices": null,
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| 47 |
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"use_dora": false,
|
| 48 |
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"use_qalora": false,
|
| 49 |
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"use_rslora": false
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| 50 |
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}
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last-checkpoint/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4f5fbef0b755c084005d126c6da204fc3074387d48885d0378c8cd34fcaf0ed2
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size 121537408
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last-checkpoint/added_tokens.json
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+
{
|
| 2 |
+
"<end_of_image>": 262145,
|
| 3 |
+
"<image_soft_token>": 262144
|
| 4 |
+
}
|
last-checkpoint/chat_template.jinja
ADDED
|
@@ -0,0 +1,282 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- macro format_parameters(properties, required) -%}
|
| 2 |
+
{%- set standard_keys = ['description', 'type', 'properties', 'required', 'nullable'] -%}
|
| 3 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 4 |
+
{%- for key, value in properties | dictsort -%}
|
| 5 |
+
{%- if key not in standard_keys -%}
|
| 6 |
+
{%- if ns.found_first %},{% endif -%}
|
| 7 |
+
{%- set ns.found_first = true -%}
|
| 8 |
+
{{- key }}:{description:<escape>{{ value['description'] }}<escape>
|
| 9 |
+
{%- if value['type'] | upper == 'STRING' -%}
|
| 10 |
+
{%- if value['enum'] -%}
|
| 11 |
+
,enum:{{ format_argument(value['enum']) }}
|
| 12 |
+
{%- endif -%}
|
| 13 |
+
{%- elif value['type'] | upper == 'OBJECT' -%}
|
| 14 |
+
,properties:{
|
| 15 |
+
{%- if value['properties'] is defined and value['properties'] is mapping -%}
|
| 16 |
+
{{- format_parameters(value['properties'], value['required'] | default([])) -}}
|
| 17 |
+
{%- elif value is mapping -%}
|
| 18 |
+
{{- format_parameters(value, value['required'] | default([])) -}}
|
| 19 |
+
{%- endif -%}
|
| 20 |
+
}
|
| 21 |
+
{%- if value['required'] -%}
|
| 22 |
+
,required:[
|
| 23 |
+
{%- for item in value['required'] | default([]) -%}
|
| 24 |
+
<escape>{{- item -}}<escape>
|
| 25 |
+
{%- if not loop.last %},{% endif -%}
|
| 26 |
+
{%- endfor -%}
|
| 27 |
+
]
|
| 28 |
+
{%- endif -%}
|
| 29 |
+
{%- elif value['type'] | upper == 'ARRAY' -%}
|
| 30 |
+
{%- if value['items'] is mapping and value['items'] -%}
|
| 31 |
+
,items:{
|
| 32 |
+
{%- set ns_items = namespace(found_first=false) -%}
|
| 33 |
+
{%- for item_key, item_value in value['items'] | dictsort -%}
|
| 34 |
+
{%- if item_value is not none -%}
|
| 35 |
+
{%- if ns_items.found_first %},{% endif -%}
|
| 36 |
+
{%- set ns_items.found_first = true -%}
|
| 37 |
+
{%- if item_key == 'properties' -%}
|
| 38 |
+
properties:{
|
| 39 |
+
{%- if item_value is mapping -%}
|
| 40 |
+
{{- format_parameters(item_value, value['items']['required'] | default([])) -}}
|
| 41 |
+
{%- endif -%}
|
| 42 |
+
}
|
| 43 |
+
{%- elif item_key == 'required' -%}
|
| 44 |
+
required:[
|
| 45 |
+
{%- for req_item in item_value -%}
|
| 46 |
+
<escape>{{- req_item -}}<escape>
|
| 47 |
+
{%- if not loop.last %},{% endif -%}
|
| 48 |
+
{%- endfor -%}
|
| 49 |
+
]
|
| 50 |
+
{%- elif item_key == 'type' -%}
|
| 51 |
+
{%- if item_value is string -%}
|
| 52 |
+
type:{{ format_argument(item_value | upper) }}
|
| 53 |
+
{%- else -%}
|
| 54 |
+
type:{{ format_argument(item_value | map('upper') | list) }}
|
| 55 |
+
{%- endif -%}
|
| 56 |
+
{%- else -%}
|
| 57 |
+
{{ item_key }}:{{ format_argument(item_value) }}
|
| 58 |
+
{%- endif -%}
|
| 59 |
+
{%- endif -%}
|
| 60 |
+
{%- endfor -%}
|
| 61 |
+
}
|
| 62 |
+
{%- endif -%}
|
| 63 |
+
{%- endif -%}
|
| 64 |
+
,type:<escape>{{ value['type'] | upper }}<escape>}
|
| 65 |
+
{%- endif -%}
|
| 66 |
+
{%- endfor -%}
|
| 67 |
+
{%- endmacro -%}
|
| 68 |
+
{% macro format_function_declaration(tool_data) -%}
|
| 69 |
+
declaration:{{- tool_data['function']['name'] -}}
|
| 70 |
+
{description:<escape>{{- tool_data['function']['description'] -}}<escape>
|
| 71 |
+
{%- set params = tool_data['function']['parameters'] -%}
|
| 72 |
+
{%- if params -%}
|
| 73 |
+
,parameters:{
|
| 74 |
+
{%- if params['properties'] -%}
|
| 75 |
+
properties:{ {{- format_parameters(params['properties'], params['required']) -}} },
|
| 76 |
+
{%- endif -%}
|
| 77 |
+
{%- if params['required'] -%}
|
| 78 |
+
required:[
|
| 79 |
+
{%- for item in params['required'] -%}
|
| 80 |
+
<escape>{{- item -}}<escape>
|
| 81 |
+
{{- ',' if not loop.last -}}
|
| 82 |
+
{%- endfor -%}
|
| 83 |
+
],
|
| 84 |
+
{%- endif -%}
|
| 85 |
+
{%- if params['type'] -%}
|
| 86 |
+
type:<escape>{{- params['type'] | upper -}}<escape>}
|
| 87 |
+
{%- endif -%}
|
| 88 |
+
{%- endif -%}
|
| 89 |
+
}
|
| 90 |
+
{%- endmacro -%}
|
| 91 |
+
{% macro format_argument(argument, escape_keys=True) -%}
|
| 92 |
+
{%- if argument is string -%}
|
| 93 |
+
{{- '<escape>' + argument + '<escape>' -}}
|
| 94 |
+
{%- elif argument is boolean -%}
|
| 95 |
+
{%- if argument -%}
|
| 96 |
+
{{- 'true' -}}
|
| 97 |
+
{%- else -%}
|
| 98 |
+
{{- 'false' -}}
|
| 99 |
+
{%- endif -%}
|
| 100 |
+
{%- elif argument is mapping -%}
|
| 101 |
+
{{- '{' -}}
|
| 102 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 103 |
+
{%- for key, value in argument | dictsort -%}
|
| 104 |
+
{%- if ns.found_first %},{% endif -%}
|
| 105 |
+
{%- set ns.found_first = true -%}
|
| 106 |
+
{%- if escape_keys -%}
|
| 107 |
+
{{- '<escape>' + key + '<escape>' -}}
|
| 108 |
+
{%- else -%}
|
| 109 |
+
{{- key -}}
|
| 110 |
+
{%- endif -%}
|
| 111 |
+
:{{- format_argument(value, escape_keys=escape_keys) -}}
|
| 112 |
+
{%- endfor -%}
|
| 113 |
+
{{- '}' -}}
|
| 114 |
+
{%- elif argument is sequence -%}
|
| 115 |
+
{{- '[' -}}
|
| 116 |
+
{%- for item in argument -%}
|
| 117 |
+
{{- format_argument(item, escape_keys=escape_keys) -}}
|
| 118 |
+
{%- if not loop.last %},{% endif -%}
|
| 119 |
+
{%- endfor -%}
|
| 120 |
+
{{- ']' -}}
|
| 121 |
+
{%- else -%}
|
| 122 |
+
{{- argument -}}
|
| 123 |
+
{%- endif -%}
|
| 124 |
+
{%- endmacro -%}
|
| 125 |
+
{{ bos_token }}
|
| 126 |
+
{%- set ns = namespace(prev_message_type=None) -%}
|
| 127 |
+
{#- Tool Declarations -#}
|
| 128 |
+
{%- set loop_messages = messages -%}
|
| 129 |
+
{%- if tools or messages[0]['role'] == 'system' or messages[0]['role'] == 'developer' -%}
|
| 130 |
+
{{- '<start_of_turn>developer\n' -}}
|
| 131 |
+
{%- if messages[0]['role'] == 'system' or messages[0]['role'] == 'developer' -%}
|
| 132 |
+
{%- if messages[0]['content'] is string -%}
|
| 133 |
+
{{- messages[0]['content'] | trim -}}
|
| 134 |
+
{%- elif messages[0]['content'] is sequence -%}
|
| 135 |
+
{%- for item in messages[0]['content'] -%}
|
| 136 |
+
{%- if item['type'] == 'text' -%}
|
| 137 |
+
{{- item['text'] | trim -}}
|
| 138 |
+
{%- endif -%}
|
| 139 |
+
{%- endfor -%}
|
| 140 |
+
{%- endif -%}
|
| 141 |
+
{%- set loop_messages = messages[1:] -%}
|
| 142 |
+
{%- else -%}
|
| 143 |
+
{{- 'You are a model that can do function calling with the following functions' -}}
|
| 144 |
+
{%- set loop_messages = messages -%}
|
| 145 |
+
{%- endif -%}
|
| 146 |
+
{%- if tools -%}
|
| 147 |
+
{%- for tool in tools %}
|
| 148 |
+
{{- '<start_function_declaration>' -}}
|
| 149 |
+
{{- format_function_declaration(tool) | trim }}
|
| 150 |
+
{{- '<end_function_declaration>' -}}
|
| 151 |
+
{%- endfor %}
|
| 152 |
+
{%- endif -%}
|
| 153 |
+
{{- '<end_of_turn>\n' }}
|
| 154 |
+
{%- endif %}
|
| 155 |
+
{#- Loop through messages. -#}
|
| 156 |
+
{%- for message in loop_messages -%}
|
| 157 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 158 |
+
{#- Rename "assistant" to "model". -#}
|
| 159 |
+
{%- set role = "model" -%}
|
| 160 |
+
{%- else -%}
|
| 161 |
+
{%- set role = message['role'] -%}
|
| 162 |
+
{%- endif -%}
|
| 163 |
+
{%- if role != 'tool' -%}
|
| 164 |
+
{%- if ns.prev_message_type != 'tool_response' -%}
|
| 165 |
+
{{- '<start_of_turn>' + role + '\n' }}
|
| 166 |
+
{%- endif -%}
|
| 167 |
+
{%- set ns.prev_message_type = None -%}
|
| 168 |
+
{%- if 'content' in message and message['content'] is not none -%}
|
| 169 |
+
{%- if message['content'] is string -%}
|
| 170 |
+
{{ message['content'] | trim }}
|
| 171 |
+
{%- elif message['content'] is sequence -%}
|
| 172 |
+
{%- for item in message['content'] -%}
|
| 173 |
+
{%- if item['type'] == 'image' -%}
|
| 174 |
+
{{ '<start_of_image>' }}
|
| 175 |
+
{%- elif item['type'] == 'text' -%}
|
| 176 |
+
{{ item['text'] | trim }}
|
| 177 |
+
{%- endif -%}
|
| 178 |
+
{%- endfor -%}
|
| 179 |
+
{%- else -%}
|
| 180 |
+
{{ raise_exception("Invalid content type in user/assistant message") }}
|
| 181 |
+
{%- endif -%}
|
| 182 |
+
{%- set ns.prev_message_type = 'content' -%}
|
| 183 |
+
{%- endif -%}
|
| 184 |
+
{%- if 'tool_calls' in message and message['tool_calls'] and message['tool_calls'] is iterable -%}
|
| 185 |
+
{#- Tool Calls -#}
|
| 186 |
+
{%- for tool_call in message['tool_calls'] -%}
|
| 187 |
+
{% set function = tool_call['function'] %}
|
| 188 |
+
{{- '<start_function_call>call:' + function['name'] + '{' -}}
|
| 189 |
+
{%- if 'arguments' in function -%}
|
| 190 |
+
{%- if function['arguments'] is mapping -%}
|
| 191 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 192 |
+
{%- for key, value in function['arguments'] | dictsort -%}
|
| 193 |
+
{%- if ns.found_first %},{% endif -%}
|
| 194 |
+
{%- set ns.found_first = true -%}
|
| 195 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 196 |
+
{%- endfor -%}
|
| 197 |
+
{%- elif function['arguments'] is string -%}
|
| 198 |
+
{# This handles string-JSON, just in case #}
|
| 199 |
+
{{ function['arguments'] }}
|
| 200 |
+
{%- endif %}
|
| 201 |
+
{%- endif -%}
|
| 202 |
+
{{- '}<end_function_call>' -}}
|
| 203 |
+
{%- endfor -%}
|
| 204 |
+
{%- if loop.last -%}
|
| 205 |
+
{{ '<start_function_response>' }}
|
| 206 |
+
{%- endif -%}
|
| 207 |
+
{%- set ns.prev_message_type = 'tool_call' -%}
|
| 208 |
+
{%- endif -%}
|
| 209 |
+
{%- else -%}
|
| 210 |
+
{#- Tool Responses -#}
|
| 211 |
+
{%- if 'content' in message and message['content'] -%}
|
| 212 |
+
{%- if message['content'] is mapping -%}
|
| 213 |
+
{%- if 'name' in message['content'] and 'response' in message['content'] -%}
|
| 214 |
+
{{ '<start_function_response>response:' + message['content']['name'] | trim + '{' }}
|
| 215 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 216 |
+
{%- for key, value in message['content']['response'] | dictsort -%}
|
| 217 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 218 |
+
{%- set response_ns.found_first = true -%}
|
| 219 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 220 |
+
{%- endfor -%}
|
| 221 |
+
{{- '}<end_function_response>' -}}
|
| 222 |
+
{%- elif 'name' in message -%}
|
| 223 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{' }}
|
| 224 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 225 |
+
{%- for key, value in message['content'] | dictsort -%}
|
| 226 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 227 |
+
{%- set response_ns.found_first = true -%}
|
| 228 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 229 |
+
{%- endfor -%}
|
| 230 |
+
{{- '}<end_function_response>' -}}
|
| 231 |
+
{%- else -%}
|
| 232 |
+
{{ raise_exception("Invalid tool response mapping: must contain 'name' and 'response' keys, or 'name' must be in the message.") }}
|
| 233 |
+
{%- endif -%}
|
| 234 |
+
{%- elif message['content'] is string -%}
|
| 235 |
+
{%- if 'name' in message -%}
|
| 236 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{value:' + format_argument(message['content'], escape_keys=False) + '}<end_function_response>' }}
|
| 237 |
+
{%- else -%}
|
| 238 |
+
{{ raise_exception("Invalid tool response: 'name' must be provided.") }}
|
| 239 |
+
{%- endif -%}
|
| 240 |
+
{%- elif message['content'] is sequence -%}
|
| 241 |
+
{%- for item in message['content'] -%}
|
| 242 |
+
{%- if item is mapping -%}
|
| 243 |
+
{%- if 'name' in item and 'response' in item -%}
|
| 244 |
+
{{ '<start_function_response>response:' + item['name'] | trim + '{' }}
|
| 245 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 246 |
+
{%- for key, value in item['response'] | dictsort -%}
|
| 247 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 248 |
+
{%- set response_ns.found_first = true -%}
|
| 249 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 250 |
+
{%- endfor -%}
|
| 251 |
+
{{- '}<end_function_response>' -}}
|
| 252 |
+
{%- elif 'name' in message -%}
|
| 253 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{' }}
|
| 254 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 255 |
+
{%- for key, value in item | dictsort -%}
|
| 256 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 257 |
+
{%- set response_ns.found_first = true -%}
|
| 258 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 259 |
+
{%- endfor -%}
|
| 260 |
+
{{- '}<end_function_response>' -}}
|
| 261 |
+
{%- else -%}
|
| 262 |
+
{{ raise_exception("Invalid tool response mapping: must contain 'name' and 'response' keys, or 'name' must be in the message.") }}
|
| 263 |
+
{%- endif -%}
|
| 264 |
+
{%- else -%}
|
| 265 |
+
{{ raise_exception("Invalid tool response message: multiple responses must all be mappings") }}
|
| 266 |
+
{%- endif -%}
|
| 267 |
+
{%- endfor -%}
|
| 268 |
+
{%- else -%}
|
| 269 |
+
{{ raise_exception("Invalid content type in tool message: must be mapping, sequence of mappings, or string.") }}
|
| 270 |
+
{%- endif -%}
|
| 271 |
+
{%- endif -%}
|
| 272 |
+
{%- set ns.prev_message_type = 'tool_response' -%}
|
| 273 |
+
{%- endif -%}
|
| 274 |
+
{%- if ns.prev_message_type not in ['tool_call', 'tool_response'] -%}
|
| 275 |
+
{{ '<end_of_turn>\n' }}
|
| 276 |
+
{%- endif -%}
|
| 277 |
+
{%- endfor -%}
|
| 278 |
+
{%- if add_generation_prompt -%}
|
| 279 |
+
{%- if ns.prev_message_type != 'tool_response' -%}
|
| 280 |
+
{{- '<start_of_turn>model\n' -}}
|
| 281 |
+
{%- endif -%}
|
| 282 |
+
{%- endif -%}
|
last-checkpoint/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:7b1dc256afa4f5dadc9e4359f444304bd5b600d524d3f2002f677edcdeec2662
|
| 3 |
+
size 62000533
|
last-checkpoint/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:f1d565802a8e26c4e8a31328752b7a7fdc186d9401aa008e65697d0ad8c22e33
|
| 3 |
+
size 14645
|
last-checkpoint/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:77213298d900e39ce2b77ff28eb1af48645737938c3249581ad0e3041b4f3349
|
| 3 |
+
size 1465
|
last-checkpoint/special_tokens_map.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"boi_token": "<start_of_image>",
|
| 3 |
+
"bos_token": {
|
| 4 |
+
"content": "<bos>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false
|
| 9 |
+
},
|
| 10 |
+
"eoi_token": "<end_of_image>",
|
| 11 |
+
"eos_token": {
|
| 12 |
+
"content": "<end_of_turn>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false
|
| 17 |
+
},
|
| 18 |
+
"image_token": "<image_soft_token>",
|
| 19 |
+
"pad_token": {
|
| 20 |
+
"content": "<pad>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false
|
| 25 |
+
},
|
| 26 |
+
"sfr_token": "<start_function_response>",
|
| 27 |
+
"unk_token": {
|
| 28 |
+
"content": "<unk>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false
|
| 33 |
+
}
|
| 34 |
+
}
|
last-checkpoint/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:b6b09a0b4a803ad453063ca4bb49a784540e8120004e2450e025df2b27d41fb2
|
| 3 |
+
size 33384899
|
last-checkpoint/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:aa009fcbc3589a9904d30d04834094fea4653c2ac6d2de2cd1262d4f7a50ceb3
|
| 3 |
+
size 4689144
|
last-checkpoint/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,104 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.03432003432003432,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 100,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.003432003432003432,
|
| 14 |
+
"grad_norm": 7.438775539398193,
|
| 15 |
+
"learning_rate": 9e-05,
|
| 16 |
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"loss": 2.1271,
|
| 17 |
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"step": 10
|
| 18 |
+
},
|
| 19 |
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{
|
| 20 |
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"epoch": 0.006864006864006864,
|
| 21 |
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"grad_norm": 3.830148220062256,
|
| 22 |
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"learning_rate": 0.00019,
|
| 23 |
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"loss": 0.2349,
|
| 24 |
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"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.010296010296010296,
|
| 28 |
+
"grad_norm": 8.690064430236816,
|
| 29 |
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"learning_rate": 0.00019999947456109799,
|
| 30 |
+
"loss": 0.0928,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.013728013728013728,
|
| 35 |
+
"grad_norm": 0.8575527667999268,
|
| 36 |
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"learning_rate": 0.00019999765823617996,
|
| 37 |
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"loss": 0.0521,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
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{
|
| 41 |
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"epoch": 0.01716001716001716,
|
| 42 |
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"grad_norm": 1.6751559972763062,
|
| 43 |
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"learning_rate": 0.00019999454456190498,
|
| 44 |
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"loss": 0.0298,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.02059202059202059,
|
| 49 |
+
"grad_norm": 1.8409615755081177,
|
| 50 |
+
"learning_rate": 0.00019999013357866922,
|
| 51 |
+
"loss": 0.0448,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.024024024024024024,
|
| 56 |
+
"grad_norm": 1.4869314432144165,
|
| 57 |
+
"learning_rate": 0.00019998442534369985,
|
| 58 |
+
"loss": 0.0259,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.027456027456027456,
|
| 63 |
+
"grad_norm": 1.2635166645050049,
|
| 64 |
+
"learning_rate": 0.00019997741993105442,
|
| 65 |
+
"loss": 0.0224,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.03088803088803089,
|
| 70 |
+
"grad_norm": 0.5091639757156372,
|
| 71 |
+
"learning_rate": 0.00019996911743161967,
|
| 72 |
+
"loss": 0.0232,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.03432003432003432,
|
| 77 |
+
"grad_norm": 0.947026252746582,
|
| 78 |
+
"learning_rate": 0.00019995951795311056,
|
| 79 |
+
"loss": 0.0222,
|
| 80 |
+
"step": 100
|
| 81 |
+
}
|
| 82 |
+
],
|
| 83 |
+
"logging_steps": 10,
|
| 84 |
+
"max_steps": 8742,
|
| 85 |
+
"num_input_tokens_seen": 0,
|
| 86 |
+
"num_train_epochs": 3,
|
| 87 |
+
"save_steps": 100,
|
| 88 |
+
"stateful_callbacks": {
|
| 89 |
+
"TrainerControl": {
|
| 90 |
+
"args": {
|
| 91 |
+
"should_epoch_stop": false,
|
| 92 |
+
"should_evaluate": false,
|
| 93 |
+
"should_log": false,
|
| 94 |
+
"should_save": true,
|
| 95 |
+
"should_training_stop": false
|
| 96 |
+
},
|
| 97 |
+
"attributes": {}
|
| 98 |
+
}
|
| 99 |
+
},
|
| 100 |
+
"total_flos": 379875290139648.0,
|
| 101 |
+
"train_batch_size": 2,
|
| 102 |
+
"trial_name": null,
|
| 103 |
+
"trial_params": null
|
| 104 |
+
}
|
last-checkpoint/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:75e4953dc3d061d8ccc226edb83d1a9a943acef5ec31f03107df9e8b27991c43
|
| 3 |
+
size 6353
|