Upload folder using huggingface_hub (#1)

- 900bfdc3cf819b9694cb301745ead297a7353ac90a4be01e85fe38219ddce00a (09287a67901b2919c4876a081d914200bdbebf52)
- 5a656c7a2c81617685ca6a7334cc74ac6acda66357890ea5ae7c71c74079dace (c62bdec7ce75a84223836bd7dc049bdb369ef872)
- d3fc011bca4352d0b5fc0ad764cc6d4f698f326d0fdd418cf6ed91eb1048581d (38b661b133aa5a8adae35e70e00784ae50c6b628)

README.md

@@ -0,0 +1,83 @@
+---
+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 -->
+
+[![Twitter](https://img.shields.io/twitter/follow/PrunaAI?style=social)](https://twitter.com/PrunaAI)
+[![GitHub](https://img.shields.io/github/followers/PrunaAI?label=Follow%20%40PrunaAI&style=social)](https://github.com/PrunaAI)
+[![LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue)](https://www.linkedin.com/company/93832878/admin/feed/posts/?feedType=following)
+[![Discord](https://img.shields.io/badge/Discord-Join%20Us-blue?style=social&logo=discord)](https://discord.gg/CP4VSgck)
+
+# Simply make AI models cheaper, smaller, faster, and greener!
+
+- Give a thumbs up if you like this model!
+- 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).
+- Read the documentations to know more [here](https://pruna-ai-pruna.readthedocs-hosted.com/en/latest/)
+- Join Pruna AI community on Discord [here](https://discord.gg/CP4VSgck) to share feedback/suggestions or get help.
+
+## Results
+
+![image info](./plots.png)
+
+**Frequently Asked Questions**
+- ***How does the compression work?*** The model is compressed with llm-int8.
+- ***How does the model quality change?*** The quality of the model output might vary compared to the base model.
+- ***How is the model efficiency evaluated?*** These results were obtained on NVIDIA A100-PCIE-40GB with configuration described in `model/smash_config.json` and are obtained after a hardware warmup. The smashed model is directly compared to the original base model. Efficiency results may vary in other settings (e.g. other hardware, image size, batch size, ...). We recommend to directly run them in the use-case conditions to know if the smashed model can benefit you.
+- ***What is the model format?*** We use safetensors.
+- ***What calibration data has been used?*** If needed by the compression method, we used WikiText as the calibration data.
+- ***What is the naming convention for Pruna Huggingface models?*** We take the original model name and append "turbo", "tiny", or "green" if the smashed model has a measured inference speed, inference memory, or inference energy consumption which is less than 90% of the original base model.
+- ***How to compress my own models?*** You can request premium access to more compression methods and tech support for your specific use-cases [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).
+- ***What are "first" metrics?*** Results mentioning "first" are obtained after the first run of the model. The first run might take more memory or be slower than the subsequent runs due cuda overheads.
+- ***What are "Sync" and "Async" metrics?*** "Sync" metrics are obtained by syncing all GPU processes and stop measurement when all of them are executed. "Async" metrics are obtained without syncing all GPU processes and stop when the model output can be used by the CPU. We provide both metrics since both could be relevant depending on the use-case. We recommend to test the efficiency gains directly in your use-cases.
+
+## Setup
+
+You can run the smashed model with these steps:
+
+0. Check requirements from the original repo ybelkada/falcon-7b-sharded-bf16 installed. In particular, check python, cuda, and transformers versions.
+1. Make sure that you have installed quantization related packages.
+    ```bash
+    pip install transformers accelerate bitsandbytes>0.37.0
+    ```
+2. Load & run the model.
+    ```python 
+   from transformers import AutoModelForCausalLM, AutoTokenizer
+
+    model = AutoModelForCausalLM.from_pretrained("PrunaAI/ybelkada-falcon-7b-sharded-bf16-bnb-8bit-smashed",
+                                                 trust_remote_code=True)
+    tokenizer = AutoTokenizer.from_pretrained("ybelkada/falcon-7b-sharded-bf16")
+    
+    input_ids = tokenizer("What is the color of prunes?,", return_tensors='pt').to(model.device)["input_ids"]
+    
+    outputs = model.generate(input_ids, max_new_tokens=216)
+    tokenizer.decode(outputs[0])
+    ```
+
+## Configurations
+
+The configuration info are in `smash_config.json`.
+
+## Credits & License
+
+The license of the smashed model follows the license of the original model. Please check the license of the original model ybelkada/falcon-7b-sharded-bf16 before using this model which provided the base model. The license  of the `pruna-engine` is [here](https://pypi.org/project/pruna-engine/) on Pypi.
+
+## 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 +1,46 @@
+{
+  "_name_or_path": "/tmp/tmp4qhbr9ev",
+  "alibi": false,
+  "apply_residual_connection_post_layernorm": false,
+  "architectures": [
+    "FalconForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bias": false,
+  "bos_token_id": 11,
+  "eos_token_id": 11,
+  "hidden_dropout": 0.0,
+  "hidden_size": 4544,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "falcon",
+  "multi_query": true,
+  "n_head": 71,
+  "n_layer": 32,
+  "new_decoder_architecture": false,
+  "num_attention_heads": 71,
+  "num_hidden_layers": 32,
+  "num_kv_heads": 71,
+  "parallel_attn": true,
+  "quantization_config": {
+    "bnb_4bit_compute_dtype": "bfloat16",
+    "bnb_4bit_quant_type": "fp4",
+    "bnb_4bit_use_double_quant": true,
+    "llm_int8_enable_fp32_cpu_offload": false,
+    "llm_int8_has_fp16_weight": false,
+    "llm_int8_skip_modules": [
+      "lm_head"
+    ],
+    "llm_int8_threshold": 6.0,
+    "load_in_4bit": false,
+    "load_in_8bit": true,
+    "quant_method": "bitsandbytes"
+  },
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "torch_dtype": "float16",
+  "transformers_version": "4.37.1",
+  "use_cache": true,
+  "vocab_size": 65024
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.37.1"
+}

model-00001-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6eab2b9a9857814efd5df05a1c862805e1bf4a8df477af02576f0b34cf8c2c53
+size 4984221952

model-00002-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:40320fc752b97e007b53284aac41dbfb043dc8af371439097fc6e08fa02dcd1e
+size 2237391976

model.safetensors.index.json

@@ -0,0 +1,330 @@
+{
+  "metadata": {
+    "total_size": 7221577472
+  },
+  "weight_map": {
+    "transformer.h.0.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.0.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.0.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.0.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.0.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.0.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.0.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.0.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.0.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.1.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.1.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.1.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.1.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.1.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.1.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.1.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.1.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.1.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.10.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.10.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.10.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.10.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.10.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.10.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.10.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.10.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.10.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.11.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.11.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.11.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.11.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.11.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.11.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.11.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.11.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.11.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.12.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.12.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.12.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.12.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.12.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.12.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.12.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.12.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.12.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.13.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.13.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.13.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.13.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.13.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.13.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.13.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.13.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.13.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.14.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.14.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.14.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.14.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.14.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.14.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.14.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.14.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.14.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.15.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.15.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.15.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.15.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.15.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.15.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.15.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.15.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.15.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.16.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.16.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.16.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.16.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.16.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.16.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.16.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.16.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.16.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.17.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.17.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.17.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.17.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.17.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.17.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.17.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.17.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.17.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.18.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.18.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.18.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.18.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.18.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.18.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.18.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.18.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.18.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.19.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.19.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.19.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.19.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.19.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.19.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.19.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.19.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.19.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.2.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.2.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.2.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.2.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.2.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.2.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.2.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.2.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.2.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.20.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.20.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.20.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.20.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.20.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.20.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.20.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.20.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.20.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.21.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.21.mlp.dense_4h_to_h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.21.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.21.mlp.dense_h_to_4h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.21.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.21.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.21.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.21.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.21.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.22.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.22.mlp.dense_4h_to_h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.22.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.22.mlp.dense_h_to_4h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.22.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.22.self_attention.dense.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.22.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.22.self_attention.query_key_value.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.22.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.23.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.23.mlp.dense_4h_to_h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.23.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.23.mlp.dense_h_to_4h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.23.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.23.self_attention.dense.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.23.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.23.self_attention.query_key_value.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.23.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.24.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.24.mlp.dense_4h_to_h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.24.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.24.mlp.dense_h_to_4h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.24.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.24.self_attention.dense.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.24.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.24.self_attention.query_key_value.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.24.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.25.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.25.mlp.dense_4h_to_h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.25.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.25.mlp.dense_h_to_4h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.25.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.25.self_attention.dense.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.25.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.25.self_attention.query_key_value.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.25.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.26.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.26.mlp.dense_4h_to_h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.26.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.26.mlp.dense_h_to_4h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.26.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.26.self_attention.dense.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.26.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.26.self_attention.query_key_value.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.26.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.27.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.27.mlp.dense_4h_to_h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.27.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.27.mlp.dense_h_to_4h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.27.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.27.self_attention.dense.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.27.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.27.self_attention.query_key_value.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.27.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.28.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.28.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.28.mlp.dense_4h_to_h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.28.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.28.mlp.dense_h_to_4h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.28.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.28.self_attention.dense.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.28.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.28.self_attention.query_key_value.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.28.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.29.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.29.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.29.mlp.dense_4h_to_h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.29.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.29.mlp.dense_h_to_4h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.29.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.29.self_attention.dense.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.29.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.29.self_attention.query_key_value.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.29.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.3.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.3.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.3.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.3.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.3.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.3.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.3.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.3.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.3.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.30.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.30.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.30.mlp.dense_4h_to_h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.30.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.30.mlp.dense_h_to_4h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.30.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.30.self_attention.dense.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.30.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.30.self_attention.query_key_value.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.30.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.31.input_layernorm.bias": "model-00002-of-00002.safetensors",
+    "transformer.h.31.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.31.mlp.dense_4h_to_h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.31.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.31.mlp.dense_h_to_4h.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.31.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.31.self_attention.dense.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.31.self_attention.dense.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.31.self_attention.query_key_value.SCB": "model-00002-of-00002.safetensors",
+    "transformer.h.31.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
+    "transformer.h.4.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.4.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.4.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.4.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.4.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.4.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.4.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.4.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.4.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.5.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.5.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.5.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.5.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.5.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.5.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.5.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.5.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.5.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.6.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.6.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.6.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.6.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.6.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.6.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.6.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.6.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.6.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.7.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.7.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.7.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.7.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.7.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.7.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.7.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.7.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.7.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.8.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.8.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.8.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.8.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.8.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.8.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.8.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.8.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.8.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.9.input_layernorm.bias": "model-00001-of-00002.safetensors",
+    "transformer.h.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.9.mlp.dense_4h_to_h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.9.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.9.mlp.dense_h_to_4h.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.9.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.9.self_attention.dense.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.9.self_attention.dense.weight": "model-00001-of-00002.safetensors",
+    "transformer.h.9.self_attention.query_key_value.SCB": "model-00001-of-00002.safetensors",
+    "transformer.h.9.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
+    "transformer.ln_f.bias": "model-00002-of-00002.safetensors",
+    "transformer.ln_f.weight": "model-00002-of-00002.safetensors",
+    "transformer.word_embeddings.weight": "model-00001-of-00002.safetensors"
+  }
+}

smash_config.json

@@ -0,0 +1,27 @@
+{
+    "api_key": null,
+    "verify_url": "http://johnrachwan.pythonanywhere.com",
+    "smash_config": {
+        "pruners": "None",
+        "factorizers": "None",
+        "quantizers": "['llm-int8']",
+        "compilers": "None",
+        "task": "text_text_generation",
+        "device": "cuda",
+        "cache_dir": "/ceph/hdd/staff/charpent/.cache/modelsgin8pykn",
+        "batch_size": 1,
+        "model_name": "ybelkada/falcon-7b-sharded-bf16",
+        "pruning_ratio": 0.0,
+        "n_quantization_bits": 8,
+        "output_deviation": 0.005,
+        "max_batch_size": 1,
+        "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,
+        "save_load_fn": "bitsandbytes"
+    }
+}