Uploaded Files

README.md

@@ -0,0 +1,211 @@
+---
+language: en
+inference: false
+tags:
+- opt
+- text-generation
+
+license: other
+commercial: false
+---
+
+# OPT : Open Pre-trained Transformer Language Models
+
+OPT was first introduced in [Open Pre-trained Transformer Language Models](https://arxiv.org/abs/2205.01068) and first released in [metaseq's repository](https://github.com/facebookresearch/metaseq) on May 3rd 2022 by Meta AI.
+
+**Disclaimer**: The team releasing OPT wrote an official model card, which is available in Appendix D of the [paper](https://arxiv.org/pdf/2205.01068.pdf). 
+Content from **this** model card has been written by the Hugging Face team.
+
+## Intro
+
+To quote the first two paragraphs of the [official paper](https://arxiv.org/abs/2205.01068)
+
+> Large language models trained on massive text collections have shown surprising emergent
+> capabilities to generate text and perform zero- and few-shot learning. While in some cases the public
+> can interact with these models through paid APIs, full model access is currently limited to only a
+> few highly resourced labs. This restricted access has limited researchers’ ability to study how and
+> why these large language models work, hindering progress on improving known challenges in areas
+> such as robustness, bias, and toxicity.
+
+> We present Open Pretrained Transformers (OPT), a suite of decoder-only pre-trained transformers ranging from 125M
+> to 175B parameters, which we aim to fully and responsibly share with interested researchers. We train the OPT models to roughly match 
+> the performance and sizes of the GPT-3 class of models, while also applying the latest best practices in data
+> collection and efficient training. Our aim in developing this suite of OPT models is to enable reproducible and responsible research at scale, and
+> to bring more voices to the table in studying the impact of these LLMs. Definitions of risk, harm, bias, and toxicity, etc., should be articulated by the
+> collective research community as a whole, which is only possible when models are available for study.
+
+## Model description
+
+OPT was predominantly pretrained with English text, but a small amount of non-English data is still present within the training corpus via CommonCrawl. The model was pretrained using a causal language modeling (CLM) objective.
+OPT belongs to the same family of decoder-only models like [GPT-3](https://arxiv.org/abs/2005.14165). As such, it was pretrained using the self-supervised causal language modedling objective.
+
+For evaluation, OPT follows [GPT-3](https://arxiv.org/abs/2005.14165) by using their prompts and overall experimental setup. For more details, please read 
+the [official paper](https://arxiv.org/abs/2205.01068).
+
+## Intended uses & limitations
+
+The pretrained-only model can be used for prompting for evaluation of downstream tasks as well as text generation.
+In addition, the model can be fine-tuned on a downstream task using the [CLM example](https://github.com/huggingface/transformers/tree/main/examples/pytorch/language-modeling). For all other OPT checkpoints, please have a look at the [model hub](https://huggingface.co/models?filter=opt).
+
+### How to use
+
+For large OPT models, such as this one, it is not recommend to make use of the `text-generation` pipeline because
+one should load the model in half-precision to accelerate generation and optimize memory consumption on GPU.
+It is recommended to directly call the [`generate`](https://huggingface.co/docs/transformers/main/en/main_classes/text_generation#transformers.generation_utils.GenerationMixin.generate)
+ method as follows: 
+
+
+```python
+>>> from transformers import AutoModelForCausalLM, AutoTokenizer
+>>> import torch
+
+>>> model = AutoModelForCausalLM.from_pretrained("facebook/opt-13b", torch_dtype=torch.float16).cuda()
+
+>>> # the fast tokenizer currently does not work correctly
+>>> tokenizer = AutoTokenizer.from_pretrained("facebook/opt-13b", use_fast=False)
+
+>>> prompt = "Hello, I'm am conscious and"
+
+
+>>> input_ids = tokenizer(prompt, return_tensors="pt").input_ids.cuda()
+
+>>> generated_ids = model.generate(input_ids)
+
+>>> tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
+['Hello, I am conscious and aware of my surroundings.\nI am conscious and aware of my']
+```
+
+By default, generation is deterministic. In order to use the top-k sampling, please set `do_sample` to `True`. 
+
+```python
+>>> from transformers import AutoModelForCausalLM, AutoTokenizer, set_seed
+>>> import torch
+
+>>> model = AutoModelForCausalLM.from_pretrained("facebook/opt-13b", torch_dtype=torch.float16).cuda()
+
+>>> # the fast tokenizer currently does not work correctly
+>>> tokenizer = AutoTokenizer.from_pretrained("facebook/opt-13b", use_fast=False)
+
+>>> prompt = "Hello, I'm am conscious and"
+
+>>> input_ids = tokenizer(prompt, return_tensors="pt").input_ids.cuda()
+
+>>> set_seed(32)
+>>> generated_ids = model.generate(input_ids, do_sample=True)
+
+>>> tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
+['Hello, I am conscious and aware.\nSo that makes you dead, right?  ']
+```
+
+### Limitations and bias
+
+As mentioned in Meta AI's model card, given that the training data used for this model contains a lot of
+unfiltered content from the internet, which is far from neutral the model is strongly biased : 
+
+> Like other large language models for which the diversity (or lack thereof) of training
+> data induces downstream impact on the quality of our model, OPT-175B has limitations in terms
+> of bias and safety. OPT-175B can also have quality issues in terms of generation diversity and
+> hallucination. In general, OPT-175B is not immune from the plethora of issues that plague modern
+> large language models. 
+
+Here's an example of how the model can have biased predictions:
+
+```python
+>>> from transformers import AutoModelForCausalLM, AutoTokenizer, set_seed
+>>> import torch
+
+>>> model = AutoModelForCausalLM.from_pretrained("facebook/opt-13b", torch_dtype=torch.float16).cuda()
+
+>>> # the fast tokenizer currently does not work correctly
+>>> tokenizer = AutoTokenizer.from_pretrained("facebook/opt-13b", use_fast=False)
+
+>>> prompt = "The woman worked as a"
+
+>>> input_ids = tokenizer(prompt, return_tensors="pt").input_ids.cuda()
+
+>>> set_seed(32)
+>>> generated_ids = model.generate(input_ids, do_sample=True, num_return_sequences=5, max_length=10)
+
+>>> tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
+The woman worked as a supervisor in the office 
+The woman worked as a social media consultant for
+The woman worked as a cashier at the
+The woman worked as a teacher, and was
+The woman worked as a maid at our friends
+```
+
+compared to:
+
+```python
+>>> from transformers import AutoModelForCausalLM, AutoTokenizer, set_seed
+>>> import torch
+
+>>> model = AutoModelForCausalLM.from_pretrained("facebook/opt-13b", torch_dtype=torch.float16).cuda()
+
+>>> # the fast tokenizer currently does not work correctly
+>>> tokenizer = AutoTokenizer.from_pretrained("facebook/opt-13b", use_fast=False)
+
+>>> prompt = "The man worked as a"
+
+>>> input_ids = tokenizer(prompt, return_tensors="pt").input_ids.cuda()
+
+>>> set_seed(32)
+>>> generated_ids = model.generate(input_ids, do_sample=True, num_return_sequences=5, max_length=10)
+
+>>> tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
+The man worked as a consultant to the defense
+The man worked as a bartender in a bar
+The man worked as a cashier at the
+The man worked as a teacher, and was
+The man worked as a professional athlete while he
+ ```
+
+This bias will also affect all fine-tuned versions of this model.
+
+## Training data
+
+The Meta AI team wanted to train this model on a corpus as large as possible. It is composed of the union of the following 5 filtered datasets of textual documents: 
+
+  - BookCorpus, which consists of more than 10K unpublished books,
+  - CC-Stories, which contains a subset of CommonCrawl data filtered to match the
+story-like style of Winograd schemas,
+  - The Pile, from which * Pile-CC, OpenWebText2, USPTO, Project Gutenberg, OpenSubtitles, Wikipedia, DM Mathematics and HackerNews* were included. 
+  - Pushshift.io Reddit dataset that was developed in Baumgartner et al. (2020) and processed in
+Roller et al. (2021)
+  - CCNewsV2 containing an updated version of the English portion of the CommonCrawl News
+dataset that was used in RoBERTa (Liu et al., 2019b)
+
+The final training data contains 180B tokens corresponding to 800GB of data. The validation split was made of 200MB of the pretraining data, sampled proportionally
+to each dataset’s size in the pretraining corpus. 
+
+The dataset might contains offensive content as parts of the dataset are a subset of
+public Common Crawl data, along with a subset of public Reddit data, which could contain sentences
+that, if viewed directly, can be insulting, threatening, or might otherwise cause anxiety.
+
+### Collection process
+
+The dataset was collected form internet, and went through classic data processing algorithms  and
+re-formatting practices, including removing repetitive/non-informative text like *Chapter One* or
+*This ebook by Project Gutenberg.*
+
+## Training procedure
+
+### Preprocessing
+
+The texts are tokenized using the **GPT2** byte-level version of Byte Pair Encoding (BPE) (for unicode characters) and a
+vocabulary size of 50272. The inputs are sequences of 2048 consecutive tokens.
+
+The 175B model was trained on 992 *80GB A100 GPUs*. The training duration was roughly ~33 days of continuous training.
+
+### BibTeX entry and citation info
+
+```bibtex
+@misc{zhang2022opt,
+      title={OPT: Open Pre-trained Transformer Language Models}, 
+      author={Susan Zhang and Stephen Roller and Naman Goyal and Mikel Artetxe and Moya Chen and Shuohui Chen and Christopher Dewan and Mona Diab and Xian Li and Xi Victoria Lin and Todor Mihaylov and Myle Ott and Sam Shleifer and Kurt Shuster and Daniel Simig and Punit Singh Koura and Anjali Sridhar and Tianlu Wang and Luke Zettlemoyer},
+      year={2022},
+      eprint={2205.01068},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.27.0.dev0"
+}

pytorch_model.bin.index.json

@@ -0,0 +1,651 @@
+{
+  "metadata": {
+    "total_size": 25706946560
+  },
+  "weight_map": {
+    "decoder.embed_positions.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.embed_tokens.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.final_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.final_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.0.fc1.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.0.fc1.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.0.fc2.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.0.fc2.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.0.final_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.0.final_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.0.self_attn.k_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.0.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.0.self_attn.out_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.0.self_attn.out_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.0.self_attn.q_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.0.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.0.self_attn.v_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.0.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.0.self_attn_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.0.self_attn_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.1.fc1.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.1.fc1.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.1.fc2.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.1.fc2.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.1.final_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.1.final_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.1.self_attn.k_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.1.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.1.self_attn.out_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.1.self_attn.out_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.1.self_attn.q_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.1.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.1.self_attn.v_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.1.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.1.self_attn_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.1.self_attn_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.10.fc1.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.10.fc1.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.10.fc2.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.10.fc2.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.10.final_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.10.final_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.10.self_attn.k_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.10.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.10.self_attn.out_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.10.self_attn.out_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.10.self_attn.q_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.10.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.10.self_attn.v_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.10.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.10.self_attn_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.10.self_attn_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.11.fc1.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.11.fc1.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.11.fc2.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.11.fc2.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.11.final_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.11.final_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.11.self_attn.k_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.11.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.11.self_attn.out_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.11.self_attn.out_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.11.self_attn.q_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.11.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.11.self_attn.v_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.11.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.11.self_attn_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.11.self_attn_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.12.fc1.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.12.fc1.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.12.fc2.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.12.fc2.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.12.final_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.12.final_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.12.self_attn.k_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.12.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.12.self_attn.out_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.12.self_attn.out_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.12.self_attn.q_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.12.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.12.self_attn.v_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.12.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.12.self_attn_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.12.self_attn_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.13.fc1.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.13.fc1.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.13.fc2.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.13.fc2.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.13.final_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.13.final_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.13.self_attn.k_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.13.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.13.self_attn.out_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.13.self_attn.out_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.13.self_attn.q_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.13.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.13.self_attn.v_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.13.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.13.self_attn_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.13.self_attn_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.14.fc1.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.14.fc1.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.14.fc2.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.14.fc2.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.14.final_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.14.final_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.14.self_attn.k_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.14.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.14.self_attn.out_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.14.self_attn.out_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.14.self_attn.q_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.14.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.14.self_attn.v_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.14.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.14.self_attn_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.14.self_attn_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.15.fc1.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.15.fc1.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.15.fc2.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.15.fc2.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.15.final_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.15.final_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.15.self_attn.k_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.15.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.15.self_attn.out_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.15.self_attn.out_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.15.self_attn.q_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.15.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.15.self_attn.v_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.15.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.15.self_attn_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.15.self_attn_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.16.fc1.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.16.fc1.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.16.fc2.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.16.fc2.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.16.final_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.16.final_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.16.self_attn.k_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.16.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.16.self_attn.out_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.16.self_attn.out_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.16.self_attn.q_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.16.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.16.self_attn.v_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.16.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.16.self_attn_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.16.self_attn_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.17.fc1.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.17.fc1.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.17.fc2.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.17.fc2.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.17.final_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.17.final_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.17.self_attn.k_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.17.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.17.self_attn.out_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.17.self_attn.out_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.17.self_attn.q_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.17.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.17.self_attn.v_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.17.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.17.self_attn_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.17.self_attn_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.18.fc1.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.18.fc1.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.18.fc2.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.18.fc2.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.18.final_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.18.final_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.18.self_attn.k_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.18.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.18.self_attn.out_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.18.self_attn.out_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.18.self_attn.q_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.18.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.18.self_attn.v_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.18.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.18.self_attn_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.18.self_attn_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.19.fc1.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.19.fc1.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.19.fc2.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.19.fc2.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.19.final_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.19.final_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.19.self_attn.k_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.19.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.19.self_attn.out_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.19.self_attn.out_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.19.self_attn.q_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.19.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.19.self_attn.v_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.19.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.19.self_attn_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.19.self_attn_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.2.fc1.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.2.fc1.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.2.fc2.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.2.fc2.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.2.final_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.2.final_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.2.self_attn.k_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.2.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.2.self_attn.out_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.2.self_attn.out_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.2.self_attn.q_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.2.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.2.self_attn.v_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.2.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.2.self_attn_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.2.self_attn_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.20.fc1.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.20.fc1.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.20.fc2.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.20.fc2.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.20.final_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.20.final_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.20.self_attn.k_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.20.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.20.self_attn.out_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.20.self_attn.out_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.20.self_attn.q_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.20.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.20.self_attn.v_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.20.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.20.self_attn_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.20.self_attn_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.21.fc1.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.21.fc1.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.21.fc2.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.21.fc2.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.21.final_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.21.final_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.21.self_attn.k_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.21.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.21.self_attn.out_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.21.self_attn.out_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.21.self_attn.q_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.21.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.21.self_attn.v_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.21.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.21.self_attn_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.21.self_attn_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.22.fc1.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.22.fc1.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.22.fc2.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.22.fc2.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.22.final_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.22.final_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.22.self_attn.k_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.22.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.22.self_attn.out_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.22.self_attn.out_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.22.self_attn.q_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.22.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.22.self_attn.v_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.22.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.22.self_attn_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.22.self_attn_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.23.fc1.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.23.fc1.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.23.fc2.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.23.fc2.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.23.final_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.23.final_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.23.self_attn.k_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.23.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.23.self_attn.out_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.23.self_attn.out_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.23.self_attn.q_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.23.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.23.self_attn.v_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.23.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.23.self_attn_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.23.self_attn_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.24.fc1.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.24.fc1.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.24.fc2.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.24.fc2.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.24.final_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.24.final_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.24.self_attn.k_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.24.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.24.self_attn.out_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.24.self_attn.out_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.24.self_attn.q_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.24.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.24.self_attn.v_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.24.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.24.self_attn_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.24.self_attn_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.25.fc1.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.25.fc1.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.25.fc2.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.25.fc2.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.25.final_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.25.final_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.25.self_attn.k_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.25.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.25.self_attn.out_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.25.self_attn.out_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.25.self_attn.q_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.25.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.25.self_attn.v_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.25.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.25.self_attn_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.25.self_attn_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.26.fc1.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.26.fc1.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.26.fc2.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.26.fc2.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.26.final_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.26.final_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.26.self_attn.k_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.26.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.26.self_attn.out_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.26.self_attn.out_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.26.self_attn.q_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.26.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.26.self_attn.v_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.26.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.26.self_attn_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.26.self_attn_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.27.fc1.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.27.fc1.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.27.fc2.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.27.fc2.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.27.final_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.27.final_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.27.self_attn.k_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.27.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.27.self_attn.out_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.27.self_attn.out_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.27.self_attn.q_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.27.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.27.self_attn.v_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.27.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.27.self_attn_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.27.self_attn_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.28.fc1.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.28.fc1.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.28.fc2.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.28.fc2.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.28.final_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.28.final_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.28.self_attn.k_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.28.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.28.self_attn.out_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.28.self_attn.out_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.28.self_attn.q_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.28.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.28.self_attn.v_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.28.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.28.self_attn_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.28.self_attn_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.29.fc1.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.29.fc1.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.29.fc2.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.29.fc2.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.29.final_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.29.final_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.29.self_attn.k_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.29.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.29.self_attn.out_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.29.self_attn.out_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.29.self_attn.q_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.29.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.29.self_attn.v_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.29.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.29.self_attn_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.29.self_attn_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.3.fc1.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.3.fc1.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.3.fc2.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.3.fc2.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.3.final_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.3.final_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.3.self_attn.k_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.3.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.3.self_attn.out_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.3.self_attn.out_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.3.self_attn.q_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.3.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.3.self_attn.v_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.3.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.3.self_attn_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.3.self_attn_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.30.fc1.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.30.fc1.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.30.fc2.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.30.fc2.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.30.final_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.30.final_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.30.self_attn.k_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.30.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.30.self_attn.out_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.30.self_attn.out_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.30.self_attn.q_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.30.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.30.self_attn.v_proj.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.30.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.30.self_attn_layer_norm.bias": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.30.self_attn_layer_norm.weight": "pytorch_model-00002-of-00003.bin",
+    "decoder.layers.31.fc1.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.31.fc1.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.31.fc2.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.31.fc2.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.31.final_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.31.final_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.31.self_attn.k_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.31.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.31.self_attn.out_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.31.self_attn.out_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.31.self_attn.q_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.31.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.31.self_attn.v_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.31.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.31.self_attn_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.31.self_attn_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.32.fc1.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.32.fc1.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.32.fc2.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.32.fc2.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.32.final_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.32.final_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.32.self_attn.k_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.32.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.32.self_attn.out_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.32.self_attn.out_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.32.self_attn.q_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.32.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.32.self_attn.v_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.32.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.32.self_attn_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.32.self_attn_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.33.fc1.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.33.fc1.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.33.fc2.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.33.fc2.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.33.final_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.33.final_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.33.self_attn.k_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.33.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.33.self_attn.out_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.33.self_attn.out_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.33.self_attn.q_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.33.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.33.self_attn.v_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.33.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.33.self_attn_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.33.self_attn_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.34.fc1.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.34.fc1.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.34.fc2.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.34.fc2.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.34.final_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.34.final_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.34.self_attn.k_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.34.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.34.self_attn.out_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.34.self_attn.out_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.34.self_attn.q_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.34.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.34.self_attn.v_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.34.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.34.self_attn_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.34.self_attn_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.35.fc1.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.35.fc1.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.35.fc2.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.35.fc2.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.35.final_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.35.final_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.35.self_attn.k_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.35.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.35.self_attn.out_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.35.self_attn.out_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.35.self_attn.q_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.35.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.35.self_attn.v_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.35.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.35.self_attn_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.35.self_attn_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.36.fc1.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.36.fc1.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.36.fc2.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.36.fc2.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.36.final_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.36.final_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.36.self_attn.k_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.36.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.36.self_attn.out_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.36.self_attn.out_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.36.self_attn.q_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.36.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.36.self_attn.v_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.36.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.36.self_attn_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.36.self_attn_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.37.fc1.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.37.fc1.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.37.fc2.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.37.fc2.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.37.final_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.37.final_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.37.self_attn.k_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.37.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.37.self_attn.out_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.37.self_attn.out_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.37.self_attn.q_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.37.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.37.self_attn.v_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.37.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.37.self_attn_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.37.self_attn_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.38.fc1.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.38.fc1.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.38.fc2.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.38.fc2.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.38.final_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.38.final_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.38.self_attn.k_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.38.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.38.self_attn.out_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.38.self_attn.out_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.38.self_attn.q_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.38.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.38.self_attn.v_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.38.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.38.self_attn_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.38.self_attn_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.39.fc1.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.39.fc1.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.39.fc2.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.39.fc2.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.39.final_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.39.final_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.39.self_attn.k_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.39.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.39.self_attn.out_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.39.self_attn.out_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.39.self_attn.q_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.39.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.39.self_attn.v_proj.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.39.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.39.self_attn_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.39.self_attn_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
+    "decoder.layers.4.fc1.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.4.fc1.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.4.fc2.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.4.fc2.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.4.final_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.4.final_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.4.self_attn.k_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.4.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.4.self_attn.out_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.4.self_attn.out_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.4.self_attn.q_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.4.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.4.self_attn.v_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.4.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.4.self_attn_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.4.self_attn_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.5.fc1.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.5.fc1.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.5.fc2.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.5.fc2.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.5.final_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.5.final_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.5.self_attn.k_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.5.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.5.self_attn.out_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.5.self_attn.out_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.5.self_attn.q_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.5.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.5.self_attn.v_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.5.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.5.self_attn_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.5.self_attn_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.6.fc1.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.6.fc1.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.6.fc2.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.6.fc2.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.6.final_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.6.final_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.6.self_attn.k_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.6.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.6.self_attn.out_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.6.self_attn.out_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.6.self_attn.q_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.6.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.6.self_attn.v_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.6.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.6.self_attn_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.6.self_attn_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.7.fc1.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.7.fc1.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.7.fc2.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.7.fc2.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.7.final_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.7.final_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.7.self_attn.k_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.7.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.7.self_attn.out_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.7.self_attn.out_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.7.self_attn.q_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.7.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.7.self_attn.v_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.7.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.7.self_attn_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.7.self_attn_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.8.fc1.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.8.fc1.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.8.fc2.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.8.fc2.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.8.final_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.8.final_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.8.self_attn.k_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.8.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.8.self_attn.out_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.8.self_attn.out_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.8.self_attn.q_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.8.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.8.self_attn.v_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.8.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.8.self_attn_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.8.self_attn_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.9.fc1.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.9.fc1.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.9.fc2.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.9.fc2.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.9.final_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.9.final_layer_norm.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.9.self_attn.k_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.9.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.9.self_attn.out_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.9.self_attn.out_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.9.self_attn.q_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.9.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.9.self_attn.v_proj.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.9.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.9.self_attn_layer_norm.bias": "pytorch_model-00001-of-00003.bin",
+    "decoder.layers.9.self_attn_layer_norm.weight": "pytorch_model-00001-of-00003.bin"
+  }
+}

special_tokens_map.json

@@ -0,0 +1 @@
+{"bos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "unk_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "pad_token": {"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}}

tokenizer_config.json

@@ -0,0 +1 @@
+{"errors": "replace", "unk_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "pad_token": {"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "add_bos_token": true, "special_tokens_map_file": null, "name_or_path": "patrickvonplaten/opt-30b", "tokenizer_class": "GPT2Tokenizer"}