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Janin-R

Text Generation
Transformers
PyTorch
English
gptj
Inference Endpoints
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  1. added_tokens.json +1 -0
  2. config.json +43 -0
  3. merges.txt +0 -0
  4. pytorch_model.bin.index.json +348 -0
  5. special_tokens_map.json +1 -0
added_tokens.json ADDED
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config.json ADDED
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+ {
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+ "_name_or_path": "digitous/Janin-GPTJ",
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+ "activation_function": "gelu_new",
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+ "antemplate": "[Genre: <|>]",
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+ "architectures": [
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+ "GPTJForCausalLM"
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+ ],
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+ "attn_pdrop": 0.0,
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+ "bos_token_id": 50256,
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+ "gradient_checkpointing": false,
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+ "initializer_range": 0.02,
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+ "layer_norm_epsilon": 1e-05,
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+ "model_type": "gptj",
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+ "task_specific_params": {
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+ "text-generation": {
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+ "do_sample": true,
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+ "max_length": 50,
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+ "temperature": 1.0
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+ }
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+ },
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+ "tie_word_embeddings": false,
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+ "tokenizer_class": "GPT2Tokenizer",
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.24.0",
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+ "use_cache": true,
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+ "vocab_size": 50400,
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+ "welcome": "You are currently running novel-writing model `Janeway, version 1.`\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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+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
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+ "transformer.h.9.attn.masked_bias": "pytorch_model-00002-of-00006.bin",
335
+ "transformer.h.9.attn.out_proj.weight": "pytorch_model-00003-of-00006.bin",
336
+ "transformer.h.9.attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
337
+ "transformer.h.9.attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
338
+ "transformer.h.9.ln_1.bias": "pytorch_model-00002-of-00006.bin",
339
+ "transformer.h.9.ln_1.weight": "pytorch_model-00002-of-00006.bin",
340
+ "transformer.h.9.mlp.fc_in.bias": "pytorch_model-00003-of-00006.bin",
341
+ "transformer.h.9.mlp.fc_in.weight": "pytorch_model-00003-of-00006.bin",
342
+ "transformer.h.9.mlp.fc_out.bias": "pytorch_model-00003-of-00006.bin",
343
+ "transformer.h.9.mlp.fc_out.weight": "pytorch_model-00003-of-00006.bin",
344
+ "transformer.ln_f.bias": "pytorch_model-00006-of-00006.bin",
345
+ "transformer.ln_f.weight": "pytorch_model-00006-of-00006.bin",
346
+ "transformer.wte.weight": "pytorch_model-00001-of-00006.bin"
347
+ }
348
+ }
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}}