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TehVenom commited on Sep 7

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Duplicate from KoboldAI/PPO_Pygway-6b-Mix

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Co-authored-by: TeH_Venom <TehVenom@users.noreply.huggingface.co>

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.gitattributes +34 -0
README.md +93 -0
added_tokens.json +145 -0
config.json +42 -0
merges.txt +0 -0
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README.md ADDED Viewed

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+---
+language: en
+license: apache-2.0
+commercial: 'no'
+inference: false
+---
+# GPT-J 6B - PPO_Pygway Mix
+## Model description
+This is a merged model, using a weighted parameter blend strategy at a (20:20:60) ratio between the models:
+- [20%] - KoboldAI/GPT-J-6B-Janeway: https://huggingface.co/KoboldAI/GPT-J-6B-Janeway
+- [20%] - reciprocate/ppo_hh_gpt-j: https://huggingface.co/reciprocate/ppo_hh_gpt-j
+- [60%] - Pygmalion/Pygmalion-6b: https://huggingface.co/Pygmalion/Pygmalion-6b
+By their respective authors.
+**Warning: PPO_Pygway-6b may generate NSFW or inappropriate content due to the base models (Mainly [Pygmalion/Pygmalion-6b](https://huggingface.co/Pygmalion/Pygmalion-6b)) being trained on general user logs, and internet archives.**
+### Intended Use:
+Research purposes only, intended for responsible use.
+Express a conversation in natural language, and PPO_Pygmalion will pick up on the conversational format.
+Try starting a two line prompt such as:
+```
+Bot: "Hello, how are you?"
+You: "I am doing just fine, thank you."
+```
+Or any other topic, and the model will carry on in this back and forth style.
+## Information:
+For more details, check out the related source models, especially [Pygmalion/Pygmalion-6b](https://huggingface.co/Pygmalion/Pygmalion-6b) for more information on how to utilize the chat bot formatting expected.
+In a similar manner to fine-tuning, merging weights does not add information but transforms it, therefore it is important to consider trade-offs.
+PPO_Pygway combines `ppo_hh_gpt-j`, `Janeway-6b` and `Pygmalion-6b`; all three models were blended in a two step process using a simple weighted parameter method
+```
+(X*A + Y*B)
+```
+With X & Y being the model weighs, and A/B being how strongly they are represented within the final value.
+The intent of this is to elevate the end-model by borrowing the strongly represented aspects out of each base model,
+but may also weaken other faces of each model, which can be desirable if the base models have problematic traits that need to be worked on.
+Blend was done in FP32 and output saved in FP16 for reduced storage needs.
+## Limitations and biases
+Based on known problems with NLP technology, potential relevant factors include bias (gender, profession, race and religion).
+<ins>Warning: This model has a moderate NSFW bias.</ins>
+### License
+GPT-J-6b is licensed by EleutherAI under the apache-2.0 license. All Rights Reserved.
+### BibTeX entry and citation info
+```
+@misc{gpt-j,
+  author = {Wang, Ben and Komatsuzaki, Aran},
+  title = {{GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model}},
+  howpublished = {\url{https://github.com/kingoflolz/mesh-transformer-jax}},
+  year = 2021,
+  month = May
+}
+```
+### Credits To:
+Models involved:
+- https://huggingface.co/EleutherAI/gpt-j-6B
+- https://huggingface.co/Pygmalion/Pygmalion-6b
+- https://huggingface.co/reciprocate/ppo_hh_gpt-j
+- https://huggingface.co/KoboldAI/GPT-J-6B-Janeway
+Average weights merging Script credit to Concedo:
+- https://huggingface.co/concedo
+### Related datasets and articles:
+PPO_HH-GPT-J-6b's Dataset is a variant of the Helpful Harmless assistant themed
+dataset and Proximal Policy Optimization, specific datasets
+used are unknown; listed repo datasets include:
+- https://huggingface.co/datasets/reciprocate/summarize_eval_ilql
+- https://huggingface.co/datasets/reciprocate/hh_eval_ilql
+PPO explained:
+- https://paperswithcode.com/method/ppo
+Potential HH-type datasets utilized:
+- https://huggingface.co/HuggingFaceH4
+- https://huggingface.co/datasets/Anthropic/hh-rlhf
+No formal evaluation is available for this model at this time.
+It is recommend to use this model with the KoboldAI software. All feedback and comments can be directed to TeH_Venom on the KoboldAI discord.

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+  "_name_or_path": "TehVenom_PPO_Pygway-6b",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPTJForCausalLM"
+  ],
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+    }
+  },
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+  "transformers_version": "4.25.0.dev0",
+  "use_cache": true,
+  "vocab_size": 50400,
+  "welcome": "You are currently running ((ppo_hh-GPT-J[20%] + Janeway[20%]) + Pygmalion-6b [60%]), \na mix of the models reciprocate/ppo_hh_gpt-j, KoboldAI/GPT-J-6B-Janeway, and PygmalionAI/pygmalion-6b at a ratio of 20:20:50"
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special_tokens_map.json ADDED Viewed

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tokenizer.json ADDED Viewed

The diff for this file is too large to render. See raw diff

tokenizer_config.json ADDED Viewed

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+{
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+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "__type": "AddedToken",
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "errors": "replace",
+  "model_max_length": 1024,
+  "name_or_path": "pygmalion-6b",
+  "special_tokens_map_file": null,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": {
+    "__type": "AddedToken",
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

vocab.json ADDED Viewed

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