Add quant

README.md

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+---
+language:
+- en
+thumbnail: null
+tags:
+- text generation
+- instruct
+pipeline_tag: text-generation
+inference: false
+license: llama2
+datasets:
+- PygmalionAI/PIPPA
+- Open-Orca/OpenOrca
+- Norquinal/claude_multiround_chat_30k
+- jondurbin/airoboros-gpt4-1.4.1
+- databricks/databricks-dolly-15k
+---
+
+`python convert.py -i convert/pygmalion-2-7b -c convert/0000.parquet -o convert/temp -cf convert/5bpw -b 5.0 -hb 6`
+
+---
+
+<h1 style="text-align: center">Pygmalion-2 7B</h1>
+<h2 style="text-align: center">An instruction-tuned Llama-2 biased towards fiction writing and conversation.</h2>
+
+## Model Details
+
+The long-awaited release of our new models based on Llama-2 is finally here. Pygmalion-2 7B (formerly known as Metharme) is based on
+[Llama-2 7B](https://huggingface.co/meta-llama/llama-2-7b-hf) released by Meta AI. 
+
+The Metharme models were an experiment to try and get a model that is usable for conversation, roleplaying and storywriting, 
+but which can be guided using natural language like other instruct models. After much deliberation, we reached the conclusion
+that the Metharme prompting format is superior (and easier to use) compared to the classic Pygmalion. 
+
+This model was trained by doing supervised fine-tuning over a mixture of regular instruction data alongside roleplay, fictional stories
+and conversations with synthetically generated instructions attached.
+
+This model is freely available for both commercial and non-commercial use, as per the Llama-2 license.
+
+
+## Prompting
+
+The model has been trained on prompts using three different roles, which are denoted by the following tokens: `<|system|>`, `<|user|>` and `<|model|>`.
+
+The `<|system|>` prompt can be used to inject out-of-channel information behind the scenes, while the `<|user|>` prompt should be used to indicate user input.
+The `<|model|>` token should then be used to indicate that the model should generate a response. These tokens can happen multiple times and be chained up to
+form a conversation history.
+
+### Prompting example
+
+The system prompt has been designed to allow the model to "enter" various modes and dictate the reply length. Here's an example:
+
+```
+<|system|>Enter RP mode. Pretend to be {{char}} whose persona follows:
+{{persona}}
+
+You shall reply to the user while staying in character, and generate long responses.
+```
+
+## Dataset
+The dataset used to fine-tune this model includes our own [PIPPA](https://huggingface.co/datasets/PygmalionAI/PIPPA), along with several other instruction
+datasets, and datasets acquired from various RP forums.
+
+## Limitations and biases
+
+The intended use-case for this model is fictional writing for entertainment purposes. Any other sort of usage is out of scope.
+
+As such, it was **not** fine-tuned to be safe and harmless: the base model _and_ this fine-tune have been trained on data known to contain profanity and texts that
+are lewd or otherwise offensive. It may produce socially unacceptable or undesirable text, even if the prompt itself does not include anything explicitly offensive.
+Outputs might often be factually wrong or misleading.
+
+## Acknowledgements
+We would like to thank [SpicyChat](https://spicychat.ai/) for sponsoring the training for this model.
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)

config.json

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+{
+  "_name_or_path": "PygmalionAI/pygmalion-2-7b",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "badwordsids": "[[29961], [14352], [24630], [29962], [11759], [15974], [5519], [25473], [18899], [25901], [7110], [9341], [13531], [518], [9310], [2636], [3366], [21069], [11970], [23098], [16733], [21298], [18173], [10846], [3816], [28513], [15625], [23192], [28166], [10062], [1385], [11724], [3108], [15555], [10834], [10370], [14330], [1822], [12436], [5262], [17094], [10725], [17077], [11424], [4197], [24406], [13359], [17531], [24566], [23076], [4514], [13192], [19942], [16261], [7072], [6024], [1402], [1839], [2033], [13970], [850], [5913], [28895], [5387], [8308], [24927], [5691], [12940], [19997], [18959], [11287], [16862], [4638], [22322], [29861], [21251], [14704], [17548], [12452], [17288], [23160], [24960], [8219], [18024], [5539], [7464], [27865], [29588], [20068], [19660], [27706], [22896], [24264], [12258], [2314], [4400], [5586], [12622], [6796], [7226], [21939], [18456], [14178], [21540], [21945], [14664], [16215], [10338], [17361], [7503], [13769], [26073], [9601], [26909], [7961], [8999], [20840], [16272], [21545], [3199], [10514], [5159], [22689], [6525], [20526], [27077], [18017]]",
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.33.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "max_length": 4096,
+  "pad_token_id": 0,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.33.0.dev0"
+}

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+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "trust_remote_code": false,
+  "unk_token": {
+    "__type": "AddedToken",
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "use_default_system_prompt": true,
+  "use_fast": true
+}