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- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_lora/README.md +202 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_lora/adapter_config.json +34 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_lora/adapter_model.safetensors +3 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_lora/config.json +73 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_lora/non_lora_trainables.bin +3 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_lora/trainer_state.json +972 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_new_lora/README.md +202 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_new_lora/adapter_config.json +34 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_new_lora/adapter_model.safetensors +3 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_new_lora/config.json +73 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_new_lora/non_lora_trainables.bin +3 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_new_lora/trainer_state.json +972 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_lora/README.md +202 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_lora/adapter_config.json +34 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_lora/adapter_model.safetensors +3 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_lora/config.json +73 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_lora/non_lora_trainables.bin +3 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_lora/trainer_state.json +972 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_new_lora/README.md +202 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_new_lora/adapter_config.json +34 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_new_lora/adapter_model.safetensors +3 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_new_lora/config.json +73 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_new_lora/non_lora_trainables.bin +3 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_new_lora/trainer_state.json +972 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora/README.md +202 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora/adapter_config.json +34 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora/adapter_model.safetensors +3 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora/config.json +73 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora/non_lora_trainables.bin +3 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora/trainer_state.json +972 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora_2ep/README.md +202 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora_2ep/adapter_config.json +34 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora_2ep/adapter_model.safetensors +3 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora_2ep/config.json +73 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora_2ep/non_lora_trainables.bin +3 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora_2ep/trainer_state.json +1914 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter2_lora/README.md +202 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter2_lora/adapter_config.json +34 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter2_lora/adapter_model.safetensors +3 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter2_lora/config.json +73 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter2_lora/non_lora_trainables.bin +3 -0
- ckpt/llava-v1.6-mistral-7b-STIC-Iter2_lora/trainer_state.json +972 -0
- ckpt/llava-v1.6-mistral-7b-STIC-gt-judge_lora/README.md +202 -0
- ckpt/llava-v1.6-mistral-7b-STIC-gt-judge_lora/adapter_config.json +34 -0
- ckpt/llava-v1.6-mistral-7b-STIC-gt-judge_lora/adapter_model.safetensors +3 -0
- ckpt/llava-v1.6-mistral-7b-STIC-gt-judge_lora/config.json +73 -0
- ckpt/llava-v1.6-mistral-7b-STIC-gt-judge_lora/non_lora_trainables.bin +3 -0
- ckpt/llava-v1.6-mistral-7b-STIC-gt-judge_lora/trainer_state.json +972 -0
- ckpt/llava-v1.6-mistral-7b-STIC-judge_lora/README.md +202 -0
- ckpt/llava-v1.6-mistral-7b-STIC-judge_lora/adapter_config.json +34 -0
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_lora/README.md
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| 1 |
+
---
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| 2 |
+
base_model: liuhaotian/llava-v1.6-mistral-7b
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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
|
| 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. -->
|
| 17 |
+
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| 18 |
+
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| 19 |
+
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| 20 |
+
- **Developed by:** [More Information Needed]
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| 21 |
+
- **Funded by [optional]:** [More Information Needed]
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| 22 |
+
- **Shared by [optional]:** [More Information Needed]
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| 23 |
+
- **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 |
+
- **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. -->
|
| 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 |
+
[More Information Needed]
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| 45 |
+
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| 46 |
+
### 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 |
+
[More Information Needed]
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| 51 |
+
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| 52 |
+
### Out-of-Scope Use
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| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
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| 56 |
+
[More Information Needed]
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| 57 |
+
|
| 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 |
+
[More Information Needed]
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| 63 |
+
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| 64 |
+
### 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 |
+
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 |
+
## 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.
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| 73 |
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| 74 |
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[More Information Needed]
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## Training Details
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### Training Data
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| 79 |
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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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+
[More Information Needed]
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| 84 |
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### Training Procedure
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| 85 |
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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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[More Information Needed]
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#### Training Hyperparameters
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| 94 |
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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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#### 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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[More Information Needed]
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## Evaluation
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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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| 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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[More Information Needed]
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| 114 |
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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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[More Information Needed]
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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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[More Information Needed]
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### Results
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| 128 |
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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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| 133 |
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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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[More Information Needed]
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| 140 |
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## Environmental Impact
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| 142 |
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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 -->
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| 144 |
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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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| 146 |
+
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| 147 |
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- **Hardware Type:** [More Information Needed]
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| 148 |
+
- **Hours used:** [More Information Needed]
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| 149 |
+
- **Cloud Provider:** [More Information Needed]
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| 150 |
+
- **Compute Region:** [More Information Needed]
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| 151 |
+
- **Carbon Emitted:** [More Information Needed]
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| 152 |
+
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| 153 |
+
## Technical Specifications [optional]
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| 154 |
+
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| 155 |
+
### Model Architecture and Objective
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| 156 |
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[More Information Needed]
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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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#### Hardware
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| 164 |
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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 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
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| 175 |
+
**BibTeX:**
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| 176 |
+
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[More Information Needed]
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| 178 |
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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 |
+
<!-- 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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## 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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| 198 |
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[More Information Needed]
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| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_lora/adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
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{
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": null,
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"base_model_name_or_path": "liuhaotian/llava-v1.6-mistral-7b",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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| 10 |
+
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|
| 11 |
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|
| 12 |
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"loftq_config": {},
|
| 13 |
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"lora_alpha": 256,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
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"megatron_config": null,
|
| 16 |
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"megatron_core": "megatron.core",
|
| 17 |
+
"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 |
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"revision": null,
|
| 22 |
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"target_modules": [
|
| 23 |
+
"gate_proj",
|
| 24 |
+
"o_proj",
|
| 25 |
+
"down_proj",
|
| 26 |
+
"q_proj",
|
| 27 |
+
"k_proj",
|
| 28 |
+
"v_proj",
|
| 29 |
+
"up_proj"
|
| 30 |
+
],
|
| 31 |
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"task_type": "CAUSAL_LM",
|
| 32 |
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"use_dora": false,
|
| 33 |
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"use_rslora": false
|
| 34 |
+
}
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:dabdc79eeea56bbec7f760233c65518d1f7c78e69bc33e03ea66362ed2ab12d1
|
| 3 |
+
size 708923528
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_lora/config.json
ADDED
|
@@ -0,0 +1,73 @@
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|
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|
| 1 |
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{
|
| 2 |
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"_name_or_path": "liuhaotian/llava-v1.6-mistral-7b",
|
| 3 |
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|
| 4 |
+
"LlavaMistralForCausalLM"
|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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[
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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[
|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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[
|
| 26 |
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|
| 27 |
+
672
|
| 28 |
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|
| 29 |
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[
|
| 30 |
+
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|
| 31 |
+
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|
| 32 |
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|
| 33 |
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[
|
| 34 |
+
336,
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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"mm_projector_lr": 2e-05,
|
| 45 |
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"mm_projector_type": "mlp2x_gelu",
|
| 46 |
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|
| 47 |
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"mm_use_im_patch_token": false,
|
| 48 |
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"mm_use_im_start_end": false,
|
| 49 |
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"mm_vision_select_feature": "patch",
|
| 50 |
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"mm_vision_select_layer": -2,
|
| 51 |
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"mm_vision_tower": "openai/clip-vit-large-patch14-336",
|
| 52 |
+
"mm_vision_tower_lr": 2e-06,
|
| 53 |
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"model_type": "llava_llama",
|
| 54 |
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"num_attention_heads": 32,
|
| 55 |
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"num_hidden_layers": 32,
|
| 56 |
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"num_key_value_heads": 8,
|
| 57 |
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"pretraining_tp": 1,
|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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"use_cache": true,
|
| 71 |
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"use_mm_proj": true,
|
| 72 |
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"vocab_size": 32000
|
| 73 |
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}
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_lora/non_lora_trainables.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:60fb82c3660319e6d0b239950b20c28181e97f1ade117dc0660b40e2ad94a89b
|
| 3 |
+
size 912
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_lora/trainer_state.json
ADDED
|
@@ -0,0 +1,972 @@
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| 1 |
+
---
|
| 2 |
+
base_model: liuhaotian/llava-v1.6-mistral-7b
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 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. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 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 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_new_lora/adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
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|
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "liuhaotian/llava-v1.6-mistral-7b",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 256,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 128,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"v_proj",
|
| 24 |
+
"gate_proj",
|
| 25 |
+
"o_proj",
|
| 26 |
+
"up_proj",
|
| 27 |
+
"down_proj",
|
| 28 |
+
"q_proj",
|
| 29 |
+
"k_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_new_lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ff6d67f6f22e19587f0f4829988e80c0a3c96544c49f9f708a35c49218d2b0fe
|
| 3 |
+
size 708923528
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_new_lora/config.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_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 |
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"eos_token_id": 2,
|
| 10 |
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"freeze_mm_mlp_adapter": false,
|
| 11 |
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"freeze_mm_vision_resampler": false,
|
| 12 |
+
"hidden_act": "silu",
|
| 13 |
+
"hidden_size": 4096,
|
| 14 |
+
"image_aspect_ratio": "pad",
|
| 15 |
+
"image_crop_resolution": 224,
|
| 16 |
+
"image_grid_pinpoints": [
|
| 17 |
+
[
|
| 18 |
+
336,
|
| 19 |
+
672
|
| 20 |
+
],
|
| 21 |
+
[
|
| 22 |
+
672,
|
| 23 |
+
336
|
| 24 |
+
],
|
| 25 |
+
[
|
| 26 |
+
672,
|
| 27 |
+
672
|
| 28 |
+
],
|
| 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 |
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"tie_word_embeddings": false,
|
| 63 |
+
"tokenizer_model_max_length": 2048,
|
| 64 |
+
"tokenizer_padding_side": "right",
|
| 65 |
+
"torch_dtype": "bfloat16",
|
| 66 |
+
"transformers_version": "4.37.2",
|
| 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 |
+
}
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_new_lora/non_lora_trainables.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:60fb82c3660319e6d0b239950b20c28181e97f1ade117dc0660b40e2ad94a89b
|
| 3 |
+
size 912
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_concat_new_lora/trainer_state.json
ADDED
|
@@ -0,0 +1,972 @@
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|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_lora/README.md
ADDED
|
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|
| 1 |
+
---
|
| 2 |
+
base_model: liuhaotian/llava-v1.6-mistral-7b
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 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. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 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 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_lora/adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "liuhaotian/llava-v1.6-mistral-7b",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 256,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 128,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"down_proj",
|
| 24 |
+
"up_proj",
|
| 25 |
+
"gate_proj",
|
| 26 |
+
"k_proj",
|
| 27 |
+
"o_proj",
|
| 28 |
+
"v_proj",
|
| 29 |
+
"q_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:88f217654051ca039066a54f6f9ab673645cf9808ced93014c396fdac5b72962
|
| 3 |
+
size 708923528
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_lora/config.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_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 |
+
"hidden_act": "silu",
|
| 13 |
+
"hidden_size": 4096,
|
| 14 |
+
"image_aspect_ratio": "pad",
|
| 15 |
+
"image_crop_resolution": 224,
|
| 16 |
+
"image_grid_pinpoints": [
|
| 17 |
+
[
|
| 18 |
+
336,
|
| 19 |
+
672
|
| 20 |
+
],
|
| 21 |
+
[
|
| 22 |
+
672,
|
| 23 |
+
336
|
| 24 |
+
],
|
| 25 |
+
[
|
| 26 |
+
672,
|
| 27 |
+
672
|
| 28 |
+
],
|
| 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": "4.37.2",
|
| 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 |
+
}
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_lora/non_lora_trainables.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:60fb82c3660319e6d0b239950b20c28181e97f1ade117dc0660b40e2ad94a89b
|
| 3 |
+
size 912
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_lora/trainer_state.json
ADDED
|
@@ -0,0 +1,972 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: liuhaotian/llava-v1.6-mistral-7b
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 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. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 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 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_new_lora/adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "liuhaotian/llava-v1.6-mistral-7b",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 256,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 128,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"o_proj",
|
| 24 |
+
"k_proj",
|
| 25 |
+
"v_proj",
|
| 26 |
+
"q_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
+
"down_proj",
|
| 29 |
+
"up_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_new_lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fa2a2f1e2ad0d954f92a1b6d04d2ecb413d8ea25a526b4f625d850313fd8b206
|
| 3 |
+
size 708923528
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_new_lora/config.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_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 |
+
"hidden_act": "silu",
|
| 13 |
+
"hidden_size": 4096,
|
| 14 |
+
"image_aspect_ratio": "pad",
|
| 15 |
+
"image_crop_resolution": 224,
|
| 16 |
+
"image_grid_pinpoints": [
|
| 17 |
+
[
|
| 18 |
+
336,
|
| 19 |
+
672
|
| 20 |
+
],
|
| 21 |
+
[
|
| 22 |
+
672,
|
| 23 |
+
336
|
| 24 |
+
],
|
| 25 |
+
[
|
| 26 |
+
672,
|
| 27 |
+
672
|
| 28 |
+
],
|
| 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": "4.37.2",
|
| 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 |
+
}
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_new_lora/non_lora_trainables.bin
ADDED
|
@@ -0,0 +1,3 @@
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:60fb82c3660319e6d0b239950b20c28181e97f1ade117dc0660b40e2ad94a89b
|
| 3 |
+
size 912
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_2_new_lora/trainer_state.json
ADDED
|
@@ -0,0 +1,972 @@
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ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora/README.md
ADDED
|
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|
| 1 |
+
---
|
| 2 |
+
base_model: liuhaotian/llava-v1.6-mistral-7b
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 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. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 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 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora/adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
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|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "liuhaotian/llava-v1.6-mistral-7b",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 256,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 128,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"gate_proj",
|
| 24 |
+
"down_proj",
|
| 25 |
+
"o_proj",
|
| 26 |
+
"up_proj",
|
| 27 |
+
"q_proj",
|
| 28 |
+
"k_proj",
|
| 29 |
+
"v_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f6fcb33d76292e8ff9b990a50dc619fd704a613edf089f004d72d497e5b2534e
|
| 3 |
+
size 708923528
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora/config.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_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 |
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"eos_token_id": 2,
|
| 10 |
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"freeze_mm_mlp_adapter": false,
|
| 11 |
+
"freeze_mm_vision_resampler": false,
|
| 12 |
+
"hidden_act": "silu",
|
| 13 |
+
"hidden_size": 4096,
|
| 14 |
+
"image_aspect_ratio": "pad",
|
| 15 |
+
"image_crop_resolution": 224,
|
| 16 |
+
"image_grid_pinpoints": [
|
| 17 |
+
[
|
| 18 |
+
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|
| 19 |
+
672
|
| 20 |
+
],
|
| 21 |
+
[
|
| 22 |
+
672,
|
| 23 |
+
336
|
| 24 |
+
],
|
| 25 |
+
[
|
| 26 |
+
672,
|
| 27 |
+
672
|
| 28 |
+
],
|
| 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": "4.37.2",
|
| 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 |
+
}
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora/non_lora_trainables.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:60fb82c3660319e6d0b239950b20c28181e97f1ade117dc0660b40e2ad94a89b
|
| 3 |
+
size 912
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora/trainer_state.json
ADDED
|
@@ -0,0 +1,972 @@
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| 928 |
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| 929 |
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{
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| 930 |
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| 931 |
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| 934 |
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| 935 |
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{
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| 936 |
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| 937 |
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"learning_rate": 8.542416126989805e-09,
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| 938 |
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| 939 |
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"step": 155
|
| 940 |
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},
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| 941 |
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{
|
| 942 |
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"epoch": 0.99,
|
| 943 |
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"learning_rate": 2.1358321206899067e-09,
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| 944 |
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"loss": 0.7693,
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| 945 |
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"step": 156
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| 946 |
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| 947 |
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{
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| 948 |
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"epoch": 1.0,
|
| 949 |
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|
| 950 |
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"loss": 0.9033,
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| 951 |
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"step": 157
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| 952 |
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| 953 |
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{
|
| 954 |
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"epoch": 1.0,
|
| 955 |
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"step": 157,
|
| 956 |
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"total_flos": 1.8496968613009818e+17,
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| 957 |
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"train_loss": 0.8729076776534889,
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| 958 |
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| 959 |
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|
| 960 |
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"train_steps_per_second": 0.251
|
| 961 |
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}
|
| 962 |
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],
|
| 963 |
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"logging_steps": 1.0,
|
| 964 |
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"max_steps": 157,
|
| 965 |
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"num_input_tokens_seen": 0,
|
| 966 |
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"num_train_epochs": 1,
|
| 967 |
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"save_steps": 1000,
|
| 968 |
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"total_flos": 1.8496968613009818e+17,
|
| 969 |
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"train_batch_size": 8,
|
| 970 |
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"trial_name": null,
|
| 971 |
+
"trial_params": null
|
| 972 |
+
}
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora_2ep/README.md
ADDED
|
@@ -0,0 +1,202 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: liuhaotian/llava-v1.6-mistral-7b
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 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. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 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 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora_2ep/adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "liuhaotian/llava-v1.6-mistral-7b",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 256,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 128,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"gate_proj",
|
| 24 |
+
"down_proj",
|
| 25 |
+
"q_proj",
|
| 26 |
+
"k_proj",
|
| 27 |
+
"o_proj",
|
| 28 |
+
"up_proj",
|
| 29 |
+
"v_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora_2ep/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e79679ad6ed209b49fa9fc42508a33192c4757ffc1a1c14c03fdcf4ea8ab10cc
|
| 3 |
+
size 708923528
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora_2ep/config.json
ADDED
|
@@ -0,0 +1,73 @@
|
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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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|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "liuhaotian/llava-v1.6-mistral-7b",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlavaMistralForCausalLM"
|
| 5 |
+
],
|
| 6 |
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"attention_bias": false,
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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"hidden_act": "silu",
|
| 13 |
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"hidden_size": 4096,
|
| 14 |
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"image_aspect_ratio": "pad",
|
| 15 |
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"image_crop_resolution": 224,
|
| 16 |
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"image_grid_pinpoints": [
|
| 17 |
+
[
|
| 18 |
+
336,
|
| 19 |
+
672
|
| 20 |
+
],
|
| 21 |
+
[
|
| 22 |
+
672,
|
| 23 |
+
336
|
| 24 |
+
],
|
| 25 |
+
[
|
| 26 |
+
672,
|
| 27 |
+
672
|
| 28 |
+
],
|
| 29 |
+
[
|
| 30 |
+
1008,
|
| 31 |
+
336
|
| 32 |
+
],
|
| 33 |
+
[
|
| 34 |
+
336,
|
| 35 |
+
1008
|
| 36 |
+
]
|
| 37 |
+
],
|
| 38 |
+
"image_split_resolution": 224,
|
| 39 |
+
"initializer_range": 0.02,
|
| 40 |
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"intermediate_size": 14336,
|
| 41 |
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"max_position_embeddings": 32768,
|
| 42 |
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"mm_hidden_size": 1024,
|
| 43 |
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"mm_patch_merge_type": "flat",
|
| 44 |
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"mm_projector_lr": 2e-05,
|
| 45 |
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"mm_projector_type": "mlp2x_gelu",
|
| 46 |
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"mm_resampler_type": null,
|
| 47 |
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|
| 48 |
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"mm_use_im_start_end": false,
|
| 49 |
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"mm_vision_select_feature": "patch",
|
| 50 |
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"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 |
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"num_attention_heads": 32,
|
| 55 |
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"num_hidden_layers": 32,
|
| 56 |
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"num_key_value_heads": 8,
|
| 57 |
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"pretraining_tp": 1,
|
| 58 |
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"rms_norm_eps": 1e-05,
|
| 59 |
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|
| 60 |
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"rope_theta": 1000000.0,
|
| 61 |
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|
| 62 |
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|
| 63 |
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"tokenizer_model_max_length": 2048,
|
| 64 |
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"tokenizer_padding_side": "right",
|
| 65 |
+
"torch_dtype": "bfloat16",
|
| 66 |
+
"transformers_version": "4.37.2",
|
| 67 |
+
"tune_mm_mlp_adapter": false,
|
| 68 |
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"tune_mm_vision_resampler": false,
|
| 69 |
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"unfreeze_mm_vision_tower": true,
|
| 70 |
+
"use_cache": true,
|
| 71 |
+
"use_mm_proj": true,
|
| 72 |
+
"vocab_size": 32000
|
| 73 |
+
}
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora_2ep/non_lora_trainables.bin
ADDED
|
@@ -0,0 +1,3 @@
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:60fb82c3660319e6d0b239950b20c28181e97f1ade117dc0660b40e2ad94a89b
|
| 3 |
+
size 912
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter1_lora_2ep/trainer_state.json
ADDED
|
@@ -0,0 +1,1914 @@
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+
"step": 312
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"epoch": 1.99,
|
| 1885 |
+
"learning_rate": 5.339722864927677e-10,
|
| 1886 |
+
"loss": 0.7186,
|
| 1887 |
+
"step": 313
|
| 1888 |
+
},
|
| 1889 |
+
{
|
| 1890 |
+
"epoch": 2.0,
|
| 1891 |
+
"learning_rate": 0.0,
|
| 1892 |
+
"loss": 0.6761,
|
| 1893 |
+
"step": 314
|
| 1894 |
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},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 2.0,
|
| 1897 |
+
"step": 314,
|
| 1898 |
+
"total_flos": 3.703872705758495e+17,
|
| 1899 |
+
"train_loss": 0.8081462842643641,
|
| 1900 |
+
"train_runtime": 1231.9663,
|
| 1901 |
+
"train_samples_per_second": 8.117,
|
| 1902 |
+
"train_steps_per_second": 0.255
|
| 1903 |
+
}
|
| 1904 |
+
],
|
| 1905 |
+
"logging_steps": 1.0,
|
| 1906 |
+
"max_steps": 314,
|
| 1907 |
+
"num_input_tokens_seen": 0,
|
| 1908 |
+
"num_train_epochs": 2,
|
| 1909 |
+
"save_steps": 1000,
|
| 1910 |
+
"total_flos": 3.703872705758495e+17,
|
| 1911 |
+
"train_batch_size": 8,
|
| 1912 |
+
"trial_name": null,
|
| 1913 |
+
"trial_params": null
|
| 1914 |
+
}
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter2_lora/README.md
ADDED
|
@@ -0,0 +1,202 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: liuhaotian/llava-v1.6-mistral-7b
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 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. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 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 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter2_lora/adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "liuhaotian/llava-v1.6-mistral-7b",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 256,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 128,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"v_proj",
|
| 24 |
+
"q_proj",
|
| 25 |
+
"gate_proj",
|
| 26 |
+
"up_proj",
|
| 27 |
+
"o_proj",
|
| 28 |
+
"k_proj",
|
| 29 |
+
"down_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter2_lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4f68bcc304cc1c4bc35380106b600735a47a400179deb5e9776bba374f9a70e7
|
| 3 |
+
size 708923528
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter2_lora/config.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
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|
|
|
|
|
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|
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "liuhaotian/llava-v1.6-mistral-7b",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlavaMistralForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
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"attention_dropout": 0.0,
|
| 8 |
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"bos_token_id": 1,
|
| 9 |
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"eos_token_id": 2,
|
| 10 |
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"freeze_mm_mlp_adapter": false,
|
| 11 |
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"freeze_mm_vision_resampler": false,
|
| 12 |
+
"hidden_act": "silu",
|
| 13 |
+
"hidden_size": 4096,
|
| 14 |
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"image_aspect_ratio": "pad",
|
| 15 |
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"image_crop_resolution": 224,
|
| 16 |
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"image_grid_pinpoints": [
|
| 17 |
+
[
|
| 18 |
+
336,
|
| 19 |
+
672
|
| 20 |
+
],
|
| 21 |
+
[
|
| 22 |
+
672,
|
| 23 |
+
336
|
| 24 |
+
],
|
| 25 |
+
[
|
| 26 |
+
672,
|
| 27 |
+
672
|
| 28 |
+
],
|
| 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 |
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"tie_word_embeddings": false,
|
| 63 |
+
"tokenizer_model_max_length": 2048,
|
| 64 |
+
"tokenizer_padding_side": "right",
|
| 65 |
+
"torch_dtype": "bfloat16",
|
| 66 |
+
"transformers_version": "4.37.2",
|
| 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 |
+
}
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter2_lora/non_lora_trainables.bin
ADDED
|
@@ -0,0 +1,3 @@
|
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:60fb82c3660319e6d0b239950b20c28181e97f1ade117dc0660b40e2ad94a89b
|
| 3 |
+
size 912
|
ckpt/llava-v1.6-mistral-7b-STIC-Iter2_lora/trainer_state.json
ADDED
|
@@ -0,0 +1,972 @@
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|
ckpt/llava-v1.6-mistral-7b-STIC-gt-judge_lora/README.md
ADDED
|
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|
| 1 |
+
---
|
| 2 |
+
base_model: liuhaotian/llava-v1.6-mistral-7b
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 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. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 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 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
ckpt/llava-v1.6-mistral-7b-STIC-gt-judge_lora/adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "liuhaotian/llava-v1.6-mistral-7b",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 256,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
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"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 128,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"down_proj",
|
| 24 |
+
"q_proj",
|
| 25 |
+
"gate_proj",
|
| 26 |
+
"v_proj",
|
| 27 |
+
"k_proj",
|
| 28 |
+
"o_proj",
|
| 29 |
+
"up_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|
ckpt/llava-v1.6-mistral-7b-STIC-gt-judge_lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
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|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:471104284001187bd3ec82fdd1a65b0f40e66ecaf27f46854f3d7a03017fffc4
|
| 3 |
+
size 708923528
|
ckpt/llava-v1.6-mistral-7b-STIC-gt-judge_lora/config.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
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|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "liuhaotian/llava-v1.6-mistral-7b",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlavaMistralForCausalLM"
|
| 5 |
+
],
|
| 6 |
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|
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"attention_dropout": 0.0,
|
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"hidden_act": "silu",
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|
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"image_aspect_ratio": "pad",
|
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|
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|
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| 19 |
+
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| 20 |
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|
| 21 |
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[
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| 22 |
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| 23 |
+
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| 24 |
+
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|
| 25 |
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[
|
| 26 |
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|
| 27 |
+
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|
| 28 |
+
],
|
| 29 |
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[
|
| 30 |
+
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|
| 31 |
+
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|
| 32 |
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],
|
| 33 |
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[
|
| 34 |
+
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|
| 35 |
+
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|
| 36 |
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|
| 37 |
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|
| 38 |
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"image_split_resolution": 224,
|
| 39 |
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|
| 40 |
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|
| 41 |
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"max_position_embeddings": 32768,
|
| 42 |
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"mm_hidden_size": 1024,
|
| 43 |
+
"mm_patch_merge_type": "flat",
|
| 44 |
+
"mm_projector_lr": 2e-05,
|
| 45 |
+
"mm_projector_type": "mlp2x_gelu",
|
| 46 |
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"mm_resampler_type": null,
|
| 47 |
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"mm_use_im_patch_token": false,
|
| 48 |
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"mm_use_im_start_end": false,
|
| 49 |
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"mm_vision_select_feature": "patch",
|
| 50 |
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"mm_vision_select_layer": -2,
|
| 51 |
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"mm_vision_tower": "openai/clip-vit-large-patch14-336",
|
| 52 |
+
"mm_vision_tower_lr": 2e-06,
|
| 53 |
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"model_type": "llava_llama",
|
| 54 |
+
"num_attention_heads": 32,
|
| 55 |
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|
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"num_key_value_heads": 8,
|
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|
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|
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|
| 67 |
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|
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|
| 69 |
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"unfreeze_mm_vision_tower": true,
|
| 70 |
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|
| 71 |
+
"use_mm_proj": true,
|
| 72 |
+
"vocab_size": 32000
|
| 73 |
+
}
|
ckpt/llava-v1.6-mistral-7b-STIC-gt-judge_lora/non_lora_trainables.bin
ADDED
|
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:60fb82c3660319e6d0b239950b20c28181e97f1ade117dc0660b40e2ad94a89b
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size 912
|
ckpt/llava-v1.6-mistral-7b-STIC-gt-judge_lora/trainer_state.json
ADDED
|
@@ -0,0 +1,972 @@
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"trial_params": null
|
| 972 |
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}
|
ckpt/llava-v1.6-mistral-7b-STIC-judge_lora/README.md
ADDED
|
@@ -0,0 +1,202 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: liuhaotian/llava-v1.6-mistral-7b
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 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. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 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 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
ckpt/llava-v1.6-mistral-7b-STIC-judge_lora/adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "liuhaotian/llava-v1.6-mistral-7b",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 256,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 128,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"gate_proj",
|
| 24 |
+
"down_proj",
|
| 25 |
+
"o_proj",
|
| 26 |
+
"k_proj",
|
| 27 |
+
"v_proj",
|
| 28 |
+
"q_proj",
|
| 29 |
+
"up_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|