Instructions to use Sela223/cekpoint3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sela223/cekpoint3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sela223/cekpoint3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Sela223/cekpoint3 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 Sela223/cekpoint3 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 Sela223/cekpoint3 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Sela223/cekpoint3 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Sela223/cekpoint3", max_seq_length=2048, )
Upload checkpoint checkpoint-600
Browse files- .gitattributes +1 -0
- checkpoint-600/README.md +202 -0
- checkpoint-600/adapter_config.json +31 -0
- checkpoint-600/adapter_model.safetensors +3 -0
- checkpoint-600/chat_template.jinja +47 -0
- checkpoint-600/optimizer.pt +3 -0
- checkpoint-600/preprocessor_config.json +51 -0
- checkpoint-600/processor_config.json +5 -0
- checkpoint-600/rng_state.pth +3 -0
- checkpoint-600/scaler.pt +3 -0
- checkpoint-600/scheduler.pt +3 -0
- checkpoint-600/special_tokens_map.json +36 -0
- checkpoint-600/tokenizer.json +3 -0
- checkpoint-600/tokenizer.model +3 -0
- checkpoint-600/tokenizer_config.json +0 -0
- checkpoint-600/trainer_state.json +454 -0
- checkpoint-600/training_args.bin +3 -0
.gitattributes
CHANGED
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@@ -45,3 +45,4 @@ checkpoint-400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-550/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-450/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-550/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-600/README.md
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| 1 |
+
---
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| 2 |
+
base_model: unsloth/gemma-3n-e4b-it-unsloth-bnb-4bit
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| 3 |
+
library_name: peft
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| 4 |
+
---
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| 5 |
+
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| 6 |
+
# Model Card for Model ID
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| 7 |
+
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| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
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| 10 |
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| 11 |
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| 12 |
+
## Model Details
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| 13 |
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| 14 |
+
### Model Description
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| 15 |
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| 16 |
+
<!-- Provide a longer summary of what this model is. -->
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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- **Developed by:** [More Information Needed]
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| 21 |
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- **Funded by [optional]:** [More Information Needed]
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| 22 |
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- **Shared by [optional]:** [More Information Needed]
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| 23 |
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- **Model type:** [More Information Needed]
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| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 25 |
+
- **License:** [More Information Needed]
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| 26 |
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- **Finetuned from model [optional]:** [More Information Needed]
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| 27 |
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| 28 |
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### Model Sources [optional]
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| 29 |
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| 30 |
+
<!-- Provide the basic links for the model. -->
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| 31 |
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| 32 |
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- **Repository:** [More Information Needed]
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| 33 |
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- **Paper [optional]:** [More Information Needed]
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| 34 |
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- **Demo [optional]:** [More Information Needed]
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| 35 |
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| 36 |
+
## Uses
|
| 37 |
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| 38 |
+
<!-- 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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| 39 |
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| 40 |
+
### Direct Use
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| 41 |
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| 42 |
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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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| 43 |
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| 44 |
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[More Information Needed]
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| 45 |
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### Downstream Use [optional]
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| 47 |
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| 48 |
+
<!-- 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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| 49 |
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| 50 |
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[More Information Needed]
|
| 51 |
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|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
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|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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| 55 |
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| 56 |
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[More Information Needed]
|
| 57 |
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|
| 58 |
+
## Bias, Risks, and Limitations
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| 59 |
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| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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| 61 |
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| 62 |
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[More Information Needed]
|
| 63 |
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| 64 |
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### Recommendations
|
| 65 |
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| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
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|
| 70 |
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## How to Get Started with the Model
|
| 71 |
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|
| 72 |
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Use the code below to get started with the model.
|
| 73 |
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|
| 74 |
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[More Information Needed]
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| 75 |
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| 76 |
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## Training Details
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| 77 |
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| 78 |
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### Training Data
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| 79 |
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| 80 |
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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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| 81 |
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[More Information Needed]
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| 84 |
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### Training Procedure
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| 85 |
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| 86 |
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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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| 89 |
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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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| 93 |
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#### Training Hyperparameters
|
| 94 |
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| 95 |
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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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| 96 |
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| 97 |
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#### Speeds, Sizes, Times [optional]
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| 98 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 101 |
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[More Information Needed]
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| 102 |
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| 103 |
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## Evaluation
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| 104 |
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| 105 |
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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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| 108 |
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#### Testing Data
|
| 110 |
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| 111 |
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<!-- This should link to a Dataset Card if possible. -->
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| 112 |
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| 113 |
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[More Information Needed]
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| 114 |
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| 115 |
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#### Factors
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| 116 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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| 120 |
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#### Metrics
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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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| 131 |
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#### Summary
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| 132 |
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| 134 |
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## Model Examination [optional]
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| 136 |
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| 137 |
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<!-- Relevant interpretability work for the model goes here -->
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| 138 |
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| 139 |
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[More Information Needed]
|
| 140 |
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|
| 141 |
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## Environmental Impact
|
| 142 |
+
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| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
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| 145 |
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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).
|
| 146 |
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| 147 |
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- **Hardware Type:** [More Information Needed]
|
| 148 |
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- **Hours used:** [More Information Needed]
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| 149 |
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- **Cloud Provider:** [More Information Needed]
|
| 150 |
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- **Compute Region:** [More Information Needed]
|
| 151 |
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- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
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## Technical Specifications [optional]
|
| 154 |
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|
| 155 |
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### Model Architecture and Objective
|
| 156 |
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| 157 |
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[More Information Needed]
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| 158 |
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| 159 |
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### Compute Infrastructure
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| 160 |
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| 161 |
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[More Information Needed]
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| 162 |
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| 163 |
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#### Hardware
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| 164 |
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| 165 |
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[More Information Needed]
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| 166 |
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#### Software
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| 168 |
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[More Information Needed]
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| 170 |
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| 171 |
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## Citation [optional]
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| 172 |
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|
| 173 |
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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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| 174 |
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|
| 175 |
+
**BibTeX:**
|
| 176 |
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| 177 |
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[More Information Needed]
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| 178 |
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| 179 |
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**APA:**
|
| 180 |
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|
| 181 |
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[More Information Needed]
|
| 182 |
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|
| 183 |
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## Glossary [optional]
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| 184 |
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|
| 185 |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
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|
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[More Information Needed]
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| 188 |
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## More Information [optional]
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| 190 |
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| 191 |
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[More Information Needed]
|
| 192 |
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|
| 193 |
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## Model Card Authors [optional]
|
| 194 |
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| 195 |
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[More Information Needed]
|
| 196 |
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|
| 197 |
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## Model Card Contact
|
| 198 |
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| 199 |
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[More Information Needed]
|
| 200 |
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### Framework versions
|
| 201 |
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|
| 202 |
+
- PEFT 0.15.2
|
checkpoint-600/adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
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{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "unsloth/gemma-3n-e4b-it-unsloth-bnb-4bit",
|
| 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 |
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"lora_alpha": 64,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
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"modules_to_save": null,
|
| 22 |
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"peft_type": "LORA",
|
| 23 |
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"r": 64,
|
| 24 |
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"rank_pattern": {},
|
| 25 |
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"revision": null,
|
| 26 |
+
"target_modules": "(?:.*?(?:language|text).*?(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense).*?(?:q_proj|k_proj|v_proj|o_proj|gate_proj|up_proj|down_proj|correction_coefs|prediction_coefs|modality_router|linear_left|linear_right|per_layer_input_gate|per_layer_projection|0|1|2|ffw_layer_1|ffw_layer_2|pos_proj|post|linear_start|linear_end|embedding_projection).*?)|(?:\\bmodel\\.layers\\.[\\d]{1,}\\.(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense)\\.(?:(?:q_proj|k_proj|v_proj|o_proj|gate_proj|up_proj|down_proj|correction_coefs|prediction_coefs|modality_router|linear_left|linear_right|per_layer_input_gate|per_layer_projection|0|1|2|ffw_layer_1|ffw_layer_2|pos_proj|post|linear_start|linear_end|embedding_projection)))",
|
| 27 |
+
"task_type": "CAUSAL_LM",
|
| 28 |
+
"trainable_token_indices": null,
|
| 29 |
+
"use_dora": false,
|
| 30 |
+
"use_rslora": false
|
| 31 |
+
}
|
checkpoint-600/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:0a346fc83ab4375836e0a1817e6155ee7c1b91e6b3e428dc2d53bb4a757ffb78
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| 3 |
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size 614801160
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checkpoint-600/chat_template.jinja
ADDED
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{ bos_token }}
|
| 2 |
+
{%- if messages[0]['role'] == 'system' -%}
|
| 3 |
+
{%- if messages[0]['content'] is string -%}
|
| 4 |
+
{%- set first_user_prefix = messages[0]['content'] + '
|
| 5 |
+
|
| 6 |
+
' -%}
|
| 7 |
+
{%- else -%}
|
| 8 |
+
{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
|
| 9 |
+
|
| 10 |
+
' -%}
|
| 11 |
+
{%- endif -%}
|
| 12 |
+
{%- set loop_messages = messages[1:] -%}
|
| 13 |
+
{%- else -%}
|
| 14 |
+
{%- set first_user_prefix = "" -%}
|
| 15 |
+
{%- set loop_messages = messages -%}
|
| 16 |
+
{%- endif -%}
|
| 17 |
+
{%- for message in loop_messages -%}
|
| 18 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
|
| 19 |
+
{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 20 |
+
{%- endif -%}
|
| 21 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 22 |
+
{%- set role = "model" -%}
|
| 23 |
+
{%- else -%}
|
| 24 |
+
{%- set role = message['role'] -%}
|
| 25 |
+
{%- endif -%}
|
| 26 |
+
{{ '<start_of_turn>' + role + '
|
| 27 |
+
' + (first_user_prefix if loop.first else "") }}
|
| 28 |
+
{%- if message['content'] is string -%}
|
| 29 |
+
{{ message['content'] | trim }}
|
| 30 |
+
{%- elif message['content'] is iterable -%}
|
| 31 |
+
{%- for item in message['content'] -%}
|
| 32 |
+
{%- if item['type'] == 'image' -%}
|
| 33 |
+
{{ '<start_of_image>' }}
|
| 34 |
+
{%- elif item['type'] == 'text' -%}
|
| 35 |
+
{{ item['text'] | trim }}
|
| 36 |
+
{%- endif -%}
|
| 37 |
+
{%- endfor -%}
|
| 38 |
+
{%- else -%}
|
| 39 |
+
{{ raise_exception("Invalid content type") }}
|
| 40 |
+
{%- endif -%}
|
| 41 |
+
{{ '<end_of_turn>
|
| 42 |
+
' }}
|
| 43 |
+
{%- endfor -%}
|
| 44 |
+
{%- if add_generation_prompt -%}
|
| 45 |
+
{{ '<start_of_turn>model
|
| 46 |
+
' }}
|
| 47 |
+
{%- endif -%}
|
checkpoint-600/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c8be95bd5b4f5af05bcc9f61b77e27875b3a3f7cc84fb31bf07d2c4eef9428a8
|
| 3 |
+
size 314017998
|
checkpoint-600/preprocessor_config.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"crop_size": null,
|
| 3 |
+
"data_format": "channels_first",
|
| 4 |
+
"default_to_square": false,
|
| 5 |
+
"device": null,
|
| 6 |
+
"disable_grouping": null,
|
| 7 |
+
"dither": 0.0,
|
| 8 |
+
"do_center_crop": null,
|
| 9 |
+
"do_convert_rgb": null,
|
| 10 |
+
"do_normalize": false,
|
| 11 |
+
"do_rescale": true,
|
| 12 |
+
"do_resize": true,
|
| 13 |
+
"feature_size": 128,
|
| 14 |
+
"fft_length": 1024,
|
| 15 |
+
"fft_overdrive": true,
|
| 16 |
+
"frame_length": 512,
|
| 17 |
+
"hop_length": 160,
|
| 18 |
+
"image_mean": [
|
| 19 |
+
0.5,
|
| 20 |
+
0.5,
|
| 21 |
+
0.5
|
| 22 |
+
],
|
| 23 |
+
"image_processor_type": "SiglipImageProcessorFast",
|
| 24 |
+
"image_seq_length": 256,
|
| 25 |
+
"image_std": [
|
| 26 |
+
0.5,
|
| 27 |
+
0.5,
|
| 28 |
+
0.5
|
| 29 |
+
],
|
| 30 |
+
"input_data_format": null,
|
| 31 |
+
"input_scale_factor": 1.0,
|
| 32 |
+
"max_frequency": 7600.0,
|
| 33 |
+
"mel_floor": 1e-05,
|
| 34 |
+
"min_frequency": 125.0,
|
| 35 |
+
"padding_side": "right",
|
| 36 |
+
"padding_value": 0.0,
|
| 37 |
+
"per_bin_mean": null,
|
| 38 |
+
"per_bin_stddev": null,
|
| 39 |
+
"preemphasis": 0.97,
|
| 40 |
+
"preemphasis_htk_flavor": true,
|
| 41 |
+
"processor_class": "Gemma3nProcessor",
|
| 42 |
+
"resample": 2,
|
| 43 |
+
"rescale_factor": 0.00392156862745098,
|
| 44 |
+
"return_attention_mask": true,
|
| 45 |
+
"return_tensors": null,
|
| 46 |
+
"sampling_rate": 16000,
|
| 47 |
+
"size": {
|
| 48 |
+
"height": 768,
|
| 49 |
+
"width": 768
|
| 50 |
+
}
|
| 51 |
+
}
|
checkpoint-600/processor_config.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"audio_seq_length": 188,
|
| 3 |
+
"image_seq_length": 256,
|
| 4 |
+
"processor_class": "Gemma3nProcessor"
|
| 5 |
+
}
|
checkpoint-600/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:38ca74abb9af1cc9151b91103870122159c1f0b4cbbe035d58feaf102cb270d5
|
| 3 |
+
size 14244
|
checkpoint-600/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2cfe2ec7e617580ea92088fbdeda8b38329b62443daf2fdd224ffcc2cd95ef73
|
| 3 |
+
size 988
|
checkpoint-600/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c27bc146749ef826b8b1b6531125a3f5f4591621753e32ed8326e3740c3deace
|
| 3 |
+
size 1064
|
checkpoint-600/special_tokens_map.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"audio_token": "<audio_soft_token>",
|
| 3 |
+
"boa_token": "<start_of_audio>",
|
| 4 |
+
"boi_token": "<start_of_image>",
|
| 5 |
+
"bos_token": {
|
| 6 |
+
"content": "<bos>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false
|
| 11 |
+
},
|
| 12 |
+
"eoa_token": "<end_of_audio>",
|
| 13 |
+
"eoi_token": "<end_of_image>",
|
| 14 |
+
"eos_token": {
|
| 15 |
+
"content": "<end_of_turn>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false
|
| 20 |
+
},
|
| 21 |
+
"image_token": "<image_soft_token>",
|
| 22 |
+
"pad_token": {
|
| 23 |
+
"content": "<pad>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false
|
| 28 |
+
},
|
| 29 |
+
"unk_token": {
|
| 30 |
+
"content": "<unk>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false
|
| 35 |
+
}
|
| 36 |
+
}
|
checkpoint-600/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b6c35ee648c07754b44cd9e371c75d4caa05c4504910b7ad29b1847ee9d8ba5d
|
| 3 |
+
size 33442553
|
checkpoint-600/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ea5f0cc48abfbfc04d14562270a32e02149a3e7035f368cc5a462786f4a59961
|
| 3 |
+
size 4696020
|
checkpoint-600/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-600/trainer_state.json
ADDED
|
@@ -0,0 +1,454 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
|
|
|
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|
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|
|
|
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|
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|
|
|
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|
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|
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|
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|
|
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|
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|
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|
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|
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|
|
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|
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|
|
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|
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