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Browse files- README.md +22 -0
- config.json +31 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- vocab.json +0 -0
README.md
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---
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license: mit
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---
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---
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language: en
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license: mit
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---
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# Fairseq-dense 13B - Janeway
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## Model Description
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Fairseq-dense 13B-Janeway is a finetune created using Fairseq's MoE dense model.
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## Training data
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The training data contains around 2210 ebooks, mostly in the sci-fi and fantasy genres. The dataset is identical as dataset used by GPT-Neo-2.7B-Janeway.
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Some parts of the dataset have been prepended using the following text: `[Genre: <genre1>,<genre2>]`
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### How to use
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You can use this model directly with a pipeline for text generation. This example generates a different sequence each time it's run:
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```py
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>>> from transformers import pipeline
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>>> generator = pipeline('text-generation', model='KoboldAI/fairseq-dense-13B-Janeway')
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>>> generator("Welcome Captain Janeway, I apologize for the delay.", do_sample=True, min_length=50)
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[{'generated_text': 'Welcome Captain Janeway, I apologize for the delay."\nIt's all right," Janeway said. "I'm certain that you're doing your best to keep me informed of what\'s going on."'}]
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```
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### Limitations and Biases
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Based on known problems with NLP technology, potential relevant factors include bias (gender, profession, race and religion).
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### BibTeX entry and citation info
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```
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Artetxe et al. (2021): Efficient Large Scale Language Modeling with Mixtures of Experts
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```
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config.json
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{
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"_name_or_path": "KoboldAI/fairseq-dense-13B",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"architectures": [
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"XGLMForCausalLM"
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],
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"attention_dropout": 0.1,
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"attention_heads": 40,
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"bos_token_id": 50257,
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"d_model": 5120,
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"decoder_start_token_id": 2,
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"dropout": 0.1,
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"eos_token_id": 50259,
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"ffn_dim": 20480,
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"init_std": 0.02,
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"layerdrop": 0.0,
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"max_position_embeddings": 2048,
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"model_type": "xglm",
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"newlinemode": "s",
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"num_layers": 40,
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"pad_token_id": 1,
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"scale_embedding": true,
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"tokenizer_class": "GPT2Tokenizer",
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"torch_dtype": "float16",
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"transformers_version": "4.17.0",
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"use_cache": false,
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"vocab_size": 50261,
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"welcome": "You are currently running novel-writing model `Janeway, version 3.`\n\n This model is made by [Mr. Seeker](https://www.patreon.com/mrseeker)\n\n### How to use this model\n\nJaneway is designed to generate stories and novels. Use the authors note to give it a certain genre to follow, use memory to give an overview of the story and use World Information to give it specific details about the characters. To start off, give the AI an idea of what you are writing about by setting the scene. Give the AI around 10 sentences that make your story really interesting to read. Introduce your character, describe the world, blow something up, or let the AI use its creative mind.",
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"antemplate": "[Genre: <|>]"
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}
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merges.txt
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:331c038e4b81a1d0366a6f75235389b40a14f2e963395a4f27078d5c0eae98b8
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size 25707041085
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special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "<|endoftext|>", "pad_token": "<pad>"}
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tokenizer_config.json
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{"errors": "replace", "unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "special_tokens_map_file": "/root/.cache/huggingface/transformers/d62d75cc3a7250ada25f0a99e2741555d3712693661d5eef48b3fcbdd151d255.f4b0476f9d35aab16d5dd877dd9e5d547702eff96a3d808497c0d3fc36a32c99", "name_or_path": "KoboldAI/fairseq-dense-13B", "tokenizer_class": "GPT2Tokenizer"}
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vocab.json
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