Upload folder using huggingface_hub
Browse files- README.md +202 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- config.json +73 -0
- non_lora_trainables.bin +3 -0
- trainer_state.json +1773 -0
README.md
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| 1 |
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---
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| 2 |
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base_model: liuhaotian/llava-v1.6-mistral-7b
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| 3 |
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library_name: peft
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| 4 |
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---
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| 5 |
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| 6 |
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# 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. -->
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| 9 |
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| 10 |
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+
## Model Details
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| 13 |
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+
### Model Description
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| 15 |
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+
<!-- 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 |
+
- **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 |
+
- **Finetuned from model [optional]:** [More Information Needed]
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| 27 |
+
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| 28 |
+
### 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 |
+
- **Repository:** [More Information Needed]
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| 33 |
+
- **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
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| 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 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
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| 44 |
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[More Information Needed]
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| 45 |
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| 46 |
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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]
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| 51 |
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|
| 52 |
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### Out-of-Scope Use
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| 53 |
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|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
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| 56 |
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[More Information Needed]
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| 57 |
+
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| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
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|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 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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### Recommendations
|
| 65 |
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| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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| 67 |
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| 68 |
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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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| 69 |
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| 70 |
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## How to Get Started with the Model
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| 71 |
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|
| 72 |
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Use the code below to get started with the model.
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| 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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| 82 |
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[More Information Needed]
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| 83 |
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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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| 87 |
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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
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| 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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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 100 |
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[More Information Needed]
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| 102 |
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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
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| 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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| 117 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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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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#### Metrics
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| 122 |
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| 123 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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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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### Results
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| 128 |
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| 129 |
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[More Information Needed]
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| 130 |
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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]
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| 140 |
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| 141 |
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## Environmental Impact
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| 142 |
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|
| 143 |
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<!-- 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]
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| 148 |
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- **Hours used:** [More Information Needed]
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| 149 |
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- **Cloud Provider:** [More Information Needed]
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| 150 |
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- **Compute Region:** [More Information Needed]
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| 151 |
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- **Carbon Emitted:** [More Information Needed]
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| 152 |
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| 153 |
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## Technical Specifications [optional]
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| 154 |
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| 155 |
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### Model Architecture and Objective
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| 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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[More Information Needed]
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| 162 |
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| 163 |
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#### Hardware
|
| 164 |
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| 165 |
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[More Information Needed]
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| 166 |
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| 167 |
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#### Software
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| 168 |
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| 169 |
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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 |
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**BibTeX:**
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| 176 |
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[More Information Needed]
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| 178 |
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**APA:**
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| 180 |
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| 181 |
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[More Information Needed]
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| 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. -->
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| 186 |
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[More Information Needed]
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## More Information [optional]
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| 190 |
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[More Information Needed]
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| 192 |
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## Model Card Authors [optional]
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| 194 |
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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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### Framework versions
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- PEFT 0.13.2
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adapter_config.json
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{
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| 2 |
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": null,
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| 4 |
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"base_model_name_or_path": "liuhaotian/llava-v1.6-mistral-7b",
|
| 5 |
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"bias": "none",
|
| 6 |
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"fan_in_fan_out": false,
|
| 7 |
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"inference_mode": true,
|
| 8 |
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"init_lora_weights": true,
|
| 9 |
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"layer_replication": null,
|
| 10 |
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"layers_pattern": null,
|
| 11 |
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"layers_to_transform": null,
|
| 12 |
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"loftq_config": {},
|
| 13 |
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"lora_alpha": 256,
|
| 14 |
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"lora_dropout": 0.05,
|
| 15 |
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"megatron_config": null,
|
| 16 |
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"megatron_core": "megatron.core",
|
| 17 |
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"modules_to_save": null,
|
| 18 |
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"peft_type": "LORA",
|
| 19 |
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"r": 128,
|
| 20 |
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"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
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"target_modules": [
|
| 23 |
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"q_proj",
|
| 24 |
+
"gate_proj",
|
| 25 |
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"up_proj",
|
| 26 |
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"v_proj",
|
| 27 |
+
"k_proj",
|
| 28 |
+
"down_proj",
|
| 29 |
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"o_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
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"use_rslora": false
|
| 34 |
+
}
|
adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:15cad6c13249ef14bc66999e41c8089789cc17aba74afbcb75fe910ce11da62c
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| 3 |
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size 708925520
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config.json
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| 1 |
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{
|
| 2 |
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"_name_or_path": "liuhaotian/llava-v1.6-mistral-7b",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlavaMistralForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"attention_dropout": 0.0,
|
| 8 |
+
"bos_token_id": 1,
|
| 9 |
+
"eos_token_id": 2,
|
| 10 |
+
"freeze_mm_mlp_adapter": false,
|
| 11 |
+
"freeze_mm_vision_resampler": false,
|
| 12 |
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"hidden_act": "silu",
|
| 13 |
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"hidden_size": 4096,
|
| 14 |
+
"image_aspect_ratio": "pad",
|
| 15 |
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"image_crop_resolution": 224,
|
| 16 |
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"image_grid_pinpoints": [
|
| 17 |
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[
|
| 18 |
+
336,
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| 19 |
+
672
|
| 20 |
+
],
|
| 21 |
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[
|
| 22 |
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672,
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| 23 |
+
336
|
| 24 |
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],
|
| 25 |
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[
|
| 26 |
+
672,
|
| 27 |
+
672
|
| 28 |
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],
|
| 29 |
+
[
|
| 30 |
+
1008,
|
| 31 |
+
336
|
| 32 |
+
],
|
| 33 |
+
[
|
| 34 |
+
336,
|
| 35 |
+
1008
|
| 36 |
+
]
|
| 37 |
+
],
|
| 38 |
+
"image_split_resolution": 224,
|
| 39 |
+
"initializer_range": 0.02,
|
| 40 |
+
"intermediate_size": 14336,
|
| 41 |
+
"max_position_embeddings": 32768,
|
| 42 |
+
"mm_hidden_size": 1024,
|
| 43 |
+
"mm_patch_merge_type": "flat",
|
| 44 |
+
"mm_projector_lr": 2e-05,
|
| 45 |
+
"mm_projector_type": "mlp2x_gelu",
|
| 46 |
+
"mm_resampler_type": null,
|
| 47 |
+
"mm_use_im_patch_token": false,
|
| 48 |
+
"mm_use_im_start_end": false,
|
| 49 |
+
"mm_vision_select_feature": "patch",
|
| 50 |
+
"mm_vision_select_layer": -2,
|
| 51 |
+
"mm_vision_tower": "openai/clip-vit-large-patch14-336",
|
| 52 |
+
"mm_vision_tower_lr": 2e-06,
|
| 53 |
+
"model_type": "llava_llama",
|
| 54 |
+
"num_attention_heads": 32,
|
| 55 |
+
"num_hidden_layers": 32,
|
| 56 |
+
"num_key_value_heads": 8,
|
| 57 |
+
"pretraining_tp": 1,
|
| 58 |
+
"rms_norm_eps": 1e-05,
|
| 59 |
+
"rope_scaling": null,
|
| 60 |
+
"rope_theta": 1000000.0,
|
| 61 |
+
"sliding_window": null,
|
| 62 |
+
"tie_word_embeddings": false,
|
| 63 |
+
"tokenizer_model_max_length": 2048,
|
| 64 |
+
"tokenizer_padding_side": "right",
|
| 65 |
+
"torch_dtype": "bfloat16",
|
| 66 |
+
"transformers_version": "4.39.3",
|
| 67 |
+
"tune_mm_mlp_adapter": false,
|
| 68 |
+
"tune_mm_vision_resampler": false,
|
| 69 |
+
"unfreeze_mm_vision_tower": true,
|
| 70 |
+
"use_cache": true,
|
| 71 |
+
"use_mm_proj": true,
|
| 72 |
+
"vocab_size": 32000
|
| 73 |
+
}
|
non_lora_trainables.bin
ADDED
|
@@ -0,0 +1,3 @@
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3885463ff88e1ef6530e61691e756c9a5698547c007d63c618d3680b7e604d53
|
| 3 |
+
size 41961648
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1773 @@
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