What are the hardware requirements for Pygmalion 2 13B GGUF?

Pygmalion 2 13B GGUF requires approximately 5.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Pygmalion 2 13B GGUF and how large is it?

Pygmalion 2 13B GGUF is developed by TheBloke, a model with 13b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Pygmalion 2 13B GGUF?

Pygmalion 2 13B GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pygmalion 2 13B GGUF by TheBloke — VRAM 5.4GB

Name: Pygmalion 2 13B GGUF
Author: TheBloke

Pygmalion 2 13B GGUF is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 5.4GB, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

Base model:pygmalionai/pygmali... Base model:quantized:pygmalion... Dataset:databricks/databricks-... Dataset:jondurbin/airoboros-gp... Dataset:norquinal/claude multi... Dataset:open-orca/openorca Dataset:pygmalionai/pippa En Gguf Instruct Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/Pygmalion-2-13B-GGUF

Pygmalion 2 13B GGUF 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 contain profanity and texts that are lewd or otherwise offensive., Might produce factually wrong or misleading text

Additional Notes

The model is based on Llama-2 13B and is known as Metharme in its experimental phase.

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:

Instruction-tuned Llama-2 biased towards fiction writing and conversation.

Input Output

Input Format:

Prompting using three tokens: `<|system|>`, `<|user|>`, and `<|model|>`

Accepted Modalities:

text

Output Format:

Text

LLM Name	Pygmalion 2 13B GGUF
Repository 🤗	https://huggingface.co/TheBloke/Pygmalion-2-13B-GGUF
Model Name	Pygmalion 2 13B
Model Creator	PygmalionAI
Base Model(s)	Pygmalion 2 13B PygmalionAI/pygmalion-2-13b
Model Size	13b
Required VRAM	5.4 GB
Updated	2026-08-07
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	5.4 GB 6.9 GB 6.3 GB 5.7 GB 7.4 GB 7.9 GB 7.4 GB 9.0 GB 9.2 GB 9.0 GB 10.7 GB 13.8 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	llama2

Rank the Pygmalion 2 13B GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Pygmalion 2 13B GGUF

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Llama 3 13B Instruct V0.1 GGUF	0K / 5.1 GB	1940	5
...aMa 3 Instruct Zeroed 13B GGUF	0K / 5 GB	42	1
Codellama 7B Instruct GGUF	0K / 2.8 GB	166	1
Codellama 13B Instruct GGUF	0K / 13.8 GB	28	0
Finance LLM 13B GGUF	0K / 4.8 GB	516	21
CodeLlama 13B Instruct GGUF	0K / 5.4 GB	3987	132
Law LLM 13B GGUF	0K / 5.4 GB	463	10
Medicine LLM 13B GGUF	0K / 5.4 GB	319	17
Swallow 13B Instruct GGUF	0K / 5.5 GB	360	5
Mythalion 13B GGUF	0K / 5.4 GB	1567	70

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Pygmalion-2-13B-GGUF.