Pygmalion 2 13B AWQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.2GB, Context: 4K, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.09.
Pygmalion 2 13B AWQ Parameters and Internals
Model Type text generation, instruct
Use Cases
Primary Use Cases: Fictional writing for entertainment purposes
Limitations: Not fine-tuned to be safe and harmless, May produce socially unacceptable or undesirable text, Outputs might often be factually wrong or misleading
Additional Notes Model is based and fine-tuned on Llama-2 with a focus on fictional writing and conversation, and may include lewd or offensive text.
Training Details
Data Sources: PygmalionAI/PIPPA, Open-Orca/OpenOrca, Norquinal/claude_multiround_chat_30k, jondurbin/airoboros-gpt4-1.4.1, databricks/databricks-dolly-15k
Methodology: Supervised fine-tuning over a mixture of regular instruction data alongside roleplay, fictional stories and conversations with synthetically generated instructions.
Model Architecture:
Input Output
Input Format: Prompts using tokens: <|system|>, <|user|>, and <|model|>
LLM Name Pygmalion 2 13B AWQ Repository 🤗 https://huggingface.co/TheBloke/Pygmalion-2-13B-AWQ Model Name Pygmalion 2 13B Model Creator PygmalionAI Base Model(s) Pygmalion 2 13B PygmalionAI/pygmalion-2-13b Model Size 13b Required VRAM 7.2 GB Updated 2026-07-01 Maintainer TheBloke Model Type llama Instruction-Based Yes Model Files 7.2 GB Supported Languages en AWQ Quantization Yes Quantization Type awq Model Architecture LlamaForCausalLM License llama2 Context Length 4096 Model Max Length 4096 Transformers Version 4.33.0.dev0 Tokenizer Class LlamaTokenizer Beginning of Sentence Token <s> End of Sentence Token </s> Unk Token <unk> Vocabulary Size 32000 Torch Data Type bfloat16
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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation
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