What are the hardware requirements for Mythalion 13B?

Mythalion 13B requires approximately 26 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 Mythalion 13B and how large is it?

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

How does Mythalion 13B perform on standard benchmarks?

Mythalion 13B has the following published scores: MMLU 56.53. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mythalion 13B by PygmalionAI — VRAM 26GB, 4K context

Name: Mythalion 13B
Author: PygmalionAI

Mythalion 13B is an open-source language model by PygmalionAI. Features: 13b LLM, VRAM: 26GB, Context: 4K, License: llama2, Instruction-Based, LLM Explorer Score: 0.12, Arc: 61.3, HellaSwag: 83.8, MMLU: 56.5, GSM8K: 13.3.

Dataset:databricks/databricks-... Dataset:jondurbin/airoboros-gp... Dataset:norquinal/claude multi... Dataset:open-orca/openorca Dataset:pygmalionai/pippa Deploy:azure En Instruct Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/PygmalionAI/mythalion-13b

Mythalion 13B Parameters and Internals

Model Type

text generation, instruct

Use Cases

Areas:

fictional writing, entertainment purposes

Limitations:

not fine-tuned to be safe and harmless, trained on data with profanity and offensive content, may produce undesirable text, factually wrong or misleading outputs

Additional Notes

The model outperforms MythoMax in RP/Chat according to testers.

Training Details

Data Sources:

PygmalionAI/PIPPA, Open-Orca/OpenOrca, Norquinal/claude_multiround_chat_30k, jondurbin/airoboros-gpt4-1.4.1, databricks/databricks-dolly-15k

Input Output

Input Format:

Alpaca or Pygmalion formatting

Performance Tips:

Follow recommended generation settings for SillyTavern

LLM Name	Mythalion 13B
Repository 🤗	https://huggingface.co/PygmalionAI/mythalion-13b
Model Size	13b
Required VRAM	26 GB
Updated	2026-08-02
Maintainer	PygmalionAI
Model Type	llama
Instruction-Based	Yes
Model Files	9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.2 GB: 3-of-3 9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.2 GB: 3-of-3
Supported Languages	en
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	float16

Rank the Mythalion 13B 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

Quantized Models of the Mythalion 13B

Model	Likes	Downloads	VRAM
Mythalion 13B GPTQ	52	2005	7 GB
Mythalion 13B GGUF	70	1567	5 GB
Mythalion 13B AWQ	10	255	7 GB

Best Alternatives to Mythalion 13B

Best Alternatives	Context / RAM	Downloads	Likes
NexusRaven V2 13B	16K / 26 GB	105	472
CodeLlama 13B Instruct Hf	16K / 26 GB	2469	160
CodeLlama 13B MORepair	16K / 26 GB	9	2
CodeLlama 13B Instruct Hf	16K / 26 GB	369	29
TableLLM 13B	16K / 26 GB	98	34
NexusRaven 13B	16K / 26 GB	37	106
Panda Coder 13B	16K / 26 GB	11	14
... Llama 2 13B Instruct Text2sql	16K / 26 GB	8	28
Gen Sim	16K / 0.3 GB	4	3
Llama 3 13B Instruct Ft	8K / 26.1 GB	10	2

Note: green Score (e.g. "73.2") means that the model is better than PygmalionAI/mythalion-13b.