Upload 16 files
Browse files- README.md +59 -0
- added_tokens.json +145 -0
- config.json +41 -0
- merges.txt +0 -0
- model-00001-of-00007.safetensors +3 -0
- model-00002-of-00007.safetensors +3 -0
- model-00003-of-00007.safetensors +3 -0
- model-00004-of-00007.safetensors +3 -0
- model-00005-of-00007.safetensors +3 -0
- model-00006-of-00007.safetensors +3 -0
- model-00007-of-00007.safetensors +3 -0
- model.safetensors.index.json +348 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +32 -0
- vocab.json +0 -0
README.md
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---
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license: creativeml-openrail-m
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language:
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- en
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thumbnail:
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tags:
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- text generation
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- conversational
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inference: false
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---
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# Pygmalion 6B
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## Model description
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Pymalion 6B is a proof-of-concept dialogue model based on EleutherAI's [GPT-J-6B](https://huggingface.co/EleutherAI/gpt-j-6B).
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**Warning:** This model is **NOT** suitable for use by minors. It **will** output X-rated content under certain circumstances.
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## Training data
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The fine-tuning dataset consisted of 56MB of dialogue data gathered from multiple sources, which includes both real _and_ partially machine-generated conversations.
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## Training procedure
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Model weights were initialized from the `uft-6b` ConvoGPT model made available in [this commit](https://huggingface.co/hakurei/convogpt/tree/41b67bfddb6cd97070ffddf708e9720c9cb8d224/6b-uft).
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The model was then further fine-tuned on ~48.5 million tokens for ~5k steps on 4 NVIDIA A40s using DeepSpeed.
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## Intended use
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### The easy way
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We provide a notebook with a Gradio UI for playing around with the model without having to manually format inputs. This notebook can be found [here](https://github.com/PygmalionAI/gradio-ui/blob/master/notebooks/GPU.ipynb).
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### The manual way
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The model can be used as a regular text generation model, but it'll perform best if the input prompt adheres to the following format:
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```
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[CHARACTER]'s Persona: [A few sentences about the character you want the model to play]
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<START>
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[DIALOGUE HISTORY]
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You: [Your input message here]
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[CHARACTER]:
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```
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Where `[CHARACTER]` is, as you can probably guess, the name of the character you want the model to portray, `<START>` should be used verbatim as a delimiter token to separate persona and scenario data from the dialogue, and `[DIALOGUE HISTORY]` is chat history so the model can have some conversational context to draw from. Ideally it'll be pairs of messages like:
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```
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[CHARACTER]: [some dialogue here]
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You: [your response to the dialogue above]
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```
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Apart from chat history, you can also just add example conversations in `[DIALOGUE HISTORY]` to show how the character should speak - ideally at the beginning, so it doesn't get confused as to what's conversation history vs. character definition.
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## Known issues
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We haven't played around with the model enough to enumerate them. Feel free to give us some feedback!
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added_tokens.json
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}
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config.json
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{
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"_name_or_path": "pygmalion-6b",
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"activation_function": "gelu_new",
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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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"embd_pdrop": 0.0,
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"eos_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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"n_embd": 4096,
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"n_head": 16,
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"n_inner": null,
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"n_layer": 28,
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"n_positions": 2048,
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"resid_pdrop": 0.0,
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"rotary_dim": 64,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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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": "4.25.1",
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"use_cache": true,
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"vocab_size": 50400
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}
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merges.txt
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model-00001-of-00007.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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|
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327 |
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|
328 |
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|
329 |
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|
330 |
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|
331 |
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|
332 |
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|
333 |
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|
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|
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|
338 |
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|
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|
340 |
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|
341 |
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|
342 |
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|
343 |
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|
344 |
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"transformer.ln_f.bias": "model-00007-of-00007.safetensors",
|
345 |
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"transformer.ln_f.weight": "model-00007-of-00007.safetensors",
|
346 |
+
"transformer.wte.weight": "model-00001-of-00007.safetensors"
|
347 |
+
}
|
348 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
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|
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|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|endoftext|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": true,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|endoftext|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": true,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "<|endoftext|>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<|endoftext|>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": true,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"bos_token": {
|
4 |
+
"__type": "AddedToken",
|
5 |
+
"content": "<|endoftext|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": true,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false
|
10 |
+
},
|
11 |
+
"eos_token": {
|
12 |
+
"__type": "AddedToken",
|
13 |
+
"content": "<|endoftext|>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": true,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false
|
18 |
+
},
|
19 |
+
"errors": "replace",
|
20 |
+
"model_max_length": 1024,
|
21 |
+
"name_or_path": "pygmalion-6b",
|
22 |
+
"special_tokens_map_file": null,
|
23 |
+
"tokenizer_class": "GPT2Tokenizer",
|
24 |
+
"unk_token": {
|
25 |
+
"__type": "AddedToken",
|
26 |
+
"content": "<|endoftext|>",
|
27 |
+
"lstrip": false,
|
28 |
+
"normalized": true,
|
29 |
+
"rstrip": false,
|
30 |
+
"single_word": false
|
31 |
+
}
|
32 |
+
}
|
vocab.json
ADDED
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|