What are the hardware requirements for Pygmalion 2.7B?

Pygmalion 2.7B requires a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Pygmalion 2.7B and how large is it?

Pygmalion 2.7B is developed by dorkai, a model with 2.7b 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 2.7B?

Pygmalion 2.7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pygmalion 2.7B by dorkai — 2K context

Name: Pygmalion 2.7B
Author: dorkai

Pygmalion 2.7B is an open-source language model by dorkai. Features: 2.7b LLM, Context: 2K, License: creativeml-openrail-m, LLM Explorer Score: 0.07.

Conversational En Endpoints compatible Gpt neo Pytorch Region:us Tensorboard

Model Card on HF 🤗: https://huggingface.co/dorkai/pygmalion-2.7b

Pygmalion 2.7B Parameters and Internals

Model Type

text generation, conversational

Use Cases

Areas:

Research, Entertainment

Limitations:

Not suitable for minors, May generate X-rated content

Additional Notes

The model can portray characters in dialogue based on input prompt formatting. Be cautious of unintended X-rated content.

Supported Languages

en (high)

Training Details

Data Volume:

~48.5 million tokens

Methodology:

Fine-tuning

Training Time:

~5k steps

Hardware Used:

4 NVIDIA A40s

Input Output

Input Format:

[CHARACTER]'s Persona: [A few sentences about the character you want the model to play] [DIALOGUE HISTORY] You: [Your input message here] [CHARACTER]:

Accepted Modalities:

text

LLM Name	Pygmalion 2.7B
Repository 🤗	https://huggingface.co/dorkai/pygmalion-2.7b
Model Size	2.7b
Required VRAM	0 GB
Updated	2026-07-30
Maintainer	dorkai
Model Type	gpt_neo
Model Files	0.0 GB
Supported Languages	en
Model Architecture	GPTNeoForCausalLM
License	creativeml-openrail-m
Context Length	2048
Model Max Length	2048
Transformers Version	4.26.0.dev0
Tokenizer Class	GPT2Tokenizer
Beginning of Sentence Token	<\|endoftext\|>
Unk Token	<\|endoftext\|>
Vocabulary Size	50257
Torch Data Type	float16
Activation Function	gelu_new
Errors	replace

Rank the Pygmalion 2.7B 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 2.7B

Best Alternatives	Context / RAM	Downloads	Likes
ChildModel 02	2K / 5.3 GB	8	0
GPT Neo 2.7B Lama	2K / 10.6 GB	5	0
PRIME2 Openai	2K / 6.6 GB	4	1
EleutherAI GPT Neo 2.7B 4bits	2K / 1.7 GB	9	0
GPT Neo 2.7B	2K / 10.7 GB	56842	503
Pygmalion 2.7B	2K / 5.4 GB	214	59
... Style Transfer Using Examples	2K / 5.4 GB	5	1
GPT Neo 2.7B Horni	2K / 6.6 GB	7	0
GPT Neo 2.7B Shinen	2K / 6.6 GB	5	0
GPT Neo 2.7B Horni LN	2K / 6.6 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than dorkai/pygmalion-2.7b.