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PrunaAI
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yahma-llama-7b-hf-smashed-427854

Safetensors
pruna-engine
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  1. README.md +59 -0
  2. config.json +1 -0
  3. model/config.json +0 -0
  4. model/generation_config.json +7 -0
  5. model/model +0 -0
  6. model/model-00001-of-00002.safetensors +3 -0
  7. model/model-00002-of-00002.safetensors +3 -0
  8. model/model.safetensors.index.json +1194 -0
  9. model/smasher_config.json +1 -0
  10. plots.png +0 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ library_name: pruna-engine
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+ thumbnail: "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"
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+ metrics:
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+ - memory_disk
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+ - memory_inference
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+ - inference_latency
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+ - inference_throughput
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+ - inference_CO2_emissions
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+ - inference_energy_consumption
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+ ---
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+ <!-- header start -->
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+ <!-- 200823 -->
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+ <div style="width: auto; margin-left: auto; margin-right: auto">
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+ <a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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+ <img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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+ </a>
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+ </div>
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+ <!-- header end -->
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+
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+ # Simply make AI models cheaper, smaller, faster, and greener!
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+
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+ ## Results
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+
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+ ![image info](./plots.png)
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+
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+ ## Setup
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+
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+ You can run the smashed model by:
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+ 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.
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+ 2. Downloading the model files at `model_path`. This can be done using huggingface with this repository name or with manual downloading.
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+ 3. Loading the model
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+ 4. Running the model.
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+
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+ You can achieve this by running the following code:
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+
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+ ```python
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+ from transformers.utils.hub import cached_file
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+ from pruna_engine.PrunaModel import PrunaModel # Step (1): install and import `pruna-engine` package.
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+
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+ ...
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+ model_path = cached_file("PrunaAI/REPO", "model") # Step (2): download the model files at `model_path`.
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+ smashed_model = PrunaModel.load_model(model_path) # Step (3): load the model.
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+ y = smashed_model(x) # Step (4): run the model.
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+ ```
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+
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+ ## Configurations
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+
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+ The configuration info are in `config.json`.
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+
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+ ## License
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+
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+ We follow the same license as the original model. Please check the license of the original model before using this model.
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+
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+ ## Want to compress other models?
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+
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+ - Contact us and tell us which model to compress next [here](https://www.pruna.ai/contact).
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+ - Request access to easily compress your own AI models [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).
config.json ADDED
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+ {"pruner": "None", "pruning_ratio": 0.0, "factorizer": "None", "quantizer": "huggingface-gptq", "n_quantization_bits": 8, "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}
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plots.png ADDED