13bdcd851de567b10d88eb3eed635840084a70f360f80340e5bde868e20d5ccc

README.md

@@ -0,0 +1,59 @@
+---
+license: apache-2.0
+library_name: pruna-engine
+thumbnail: "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"
+metrics:
+- memory_disk
+- memory_inference
+- inference_latency
+- inference_throughput
+- inference_CO2_emissions
+- inference_energy_consumption
+---
+<!-- header start -->
+<!-- 200823 -->
+<div style="width: auto; margin-left: auto; margin-right: auto">
+    <a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
+        <img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+    </a>
+</div>
+<!-- header end -->
+
+# Simply make AI models cheaper, smaller, faster, and greener!
+
+## Results
+
+![image info](./plots.png)
+
+## Setup
+
+You can run the smashed model by:
+1. Installing and importing the `pruna-engine` (version 0.2.6) package. Use `pip install pruna --extra-index-url https://pypi.nvidia.com --extra-index-url https://pypi.ngc.nvidia.com` for installation. See [Pypi](https://pypi.org/project/pruna-engine/) for detailed on the package.
+2. Downloading the model files at `model_path`. This can be done using huggingface with this repository name or with manual downloading.
+3. Loading the model
+4. Running the model. 
+
+You can achieve this by running the following code:
+
+```python
+from transformers.utils.hub import cached_file
+from pruna_engine.PrunaModel import PrunaModel  # Step (1): install and import `pruna-engine` package.
+
+...
+model_path = cached_file("PrunaAI/REPO", "model")  # Step (2): download the model files at `model_path`.
+smashed_model = PrunaModel.load_model(model_path)  # Step (3): load the model.
+y = smashed_model(x)  # Step (4): run the model.
+```
+
+## Configurations
+
+The configuration info are in `config.json`.
+
+## License
+
+We follow the same license as the original model. Please check the license of the original model before using this model.
+
+## Want to compress other models?
+
+- Contact us and tell us which model to compress next [here](https://www.pruna.ai/contact).
+- Request access to easily compress your own AI models [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).

config.json

@@ -0,0 +1 @@
+{"pruner": "None", "pruning_ratio": 0.0, "factorizer": "None", "quantizer": "huggingface-gptq", "n_quantization_bits": 4, "output_deviation": 0.005, "compiler": "None", "static_batch": true, "static_shape": true, "controlnet": "None", "unet_dim": 4, "device": "cuda", "cache_dir": "/ceph/hdd/staff/charpent/.cache/models", "max_batch_size": 1, "image_height": "None", "image_width": "None", "version": "None", "tokenizer_name": "placeholder", "qtype_weight": "torch.qint8", "qtype_activation": "torch.quint8", "qobserver": "<class 'torch.ao.quantization.observer.MinMaxObserver'>", "qscheme": "torch.per_tensor_symmetric", "qconfig": "x86", "group_size": 128, "damp_percent": 0.1}

model/generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

model/smasher_config.json

@@ -0,0 +1 @@
+{"load_function": "hf-gptq", "api_key": "pruna_c4c77860c62a2965f6bc281841ee1d7bd3", "verify_url": "http://johnrachwan.pythonanywhere.com", "model_specific": {"model_specific": {}}}