What are the hardware requirements for Platypus 2 22B Relora?

Platypus 2 22B Relora requires approximately 43.7 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Platypus 2 22B Relora and how large is it?

Platypus 2 22B Relora is developed by chargoddard, a model with 22b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Platypus 2 22B Relora perform on standard benchmarks?

Platypus 2 22B Relora has the following published scores: MMLU 55.33. Compare against reference models on this page or on the LLM Explorer leaderboards.

Platypus 2 22B Relora by chargoddard — VRAM 43.7GB, 4K context

Name: Platypus 2 22B Relora
Author: chargoddard

Platypus 2 22B Relora is an open-source language model by chargoddard. Features: 22b LLM, VRAM: 43.7GB, Context: 4K, LLM Explorer Score: 0.11, Arc: 57.7, HellaSwag: 82.4, MMLU: 55.3, GSM8K: 6.6.

Dataset:chargoddard/open-platy... En Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/chargoddard/platypus-2-22b-relora

Platypus 2 22B Relora Parameters and Internals

Model Type

text generation

Additional Notes

Experimental version not recommended for use yet. Mostly for testing purposes.

Training Details

Data Sources:

Open-Platypus-Chat

Methodology:

ReLoRA training with three lora restarts for one epoch

Input Output

Input Format:

Prefix messages with "***System:", "***Query:", or "***Response:".

LLM Name	Platypus 2 22B Relora
Repository 🤗	https://huggingface.co/chargoddard/platypus-2-22b-relora
Model Size	22b
Required VRAM	43.7 GB
Updated	2026-07-28
Maintainer	chargoddard
Model Type	llama
Model Files	9.8 GB: 1-of-5 10.0 GB: 2-of-5 9.9 GB: 3-of-5 9.9 GB: 4-of-5 4.1 GB: 5-of-5
Supported Languages	en
Model Architecture	LlamaForCausalLM
Context Length	4098
Model Max Length	4098
Transformers Version	4.32.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Platypus 2 22B Relora 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 Platypus 2 22B Relora

Best Alternatives	Context / RAM	Downloads	Likes
EuroLLM 22B Instruct 2512	32K / 45.5 GB	3342	63
EuroLLM 22B 2512	32K / 45.5 GB	2766	19
Calm3 22B Chat	16K / 44.9 GB	878	85
Calm3 22B RP V2	16K / 44.9 GB	21	20
Calm3 22B RP V0.1	16K / 44.9 GB	10	0
Yousei 22B	4K / 44.5 GB	97	2
Llama2 22B Daydreamer V3	4K / 43.7 GB	177	11
Llama2 22B Blocktriangular	4K / 43.7 GB	368	4
Llama2 22B	4K / 43.7 GB	109	46
Llama2 22B Daydreamer V2	4K / 43.7 GB	7	2

Note: green Score (e.g. "73.2") means that the model is better than chargoddard/platypus-2-22b-relora.