What are the hardware requirements for EverythingLM 13B 16K?

EverythingLM 13B 16K requires approximately 26 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed EverythingLM 13B 16K and how large is it?

EverythingLM 13B 16K is developed by totally-not-an-llm, 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 EverythingLM 13B 16K perform on standard benchmarks?

EverythingLM 13B 16K has the following published scores: MMLU 50.18. Compare against reference models on this page or on the LLM Explorer leaderboards.

EverythingLM 13B 16K by totally-not-an-llm — VRAM 26GB, 16K context

Name: EverythingLM 13B 16K
Author: totally-not-an-llm

EverythingLM 13B 16K is an open-source language model by totally-not-an-llm. Features: 13b LLM, VRAM: 26GB, Context: 16K, License: llama2, LLM Explorer Score: 0.11, Arc: 56.6, HellaSwag: 80.6, MMLU: 50.2, GSM8K: 6.4.

Dataset:totally-not-an-llm/eve... Endpoints compatible Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/totally-not-an-llm/EverythingLM-13b-16k

EverythingLM 13B 16K Parameters and Internals

Model Type

general-purpose

Use Cases

Primary Use Cases:

Creative stories, Prompt understanding, CoT reasoning

Limitations:

Better with more detail, Uses numbered lists, Prefers fairy tales, May fall into repetition, Limited testing with full 16k context

Additional Notes

An early test of a new dataset and experimental principles.

Training Details

Data Sources:

EverythingLM dataset

Methodology:

QLoRa

Context Length:

16000

Training Time:

1 hour

Hardware Used:

1xA100

Input Output

Input Format:

Modified Vicuna format

Output Format:

Verbose and detailed replies

Performance Tips:

Model performs better with more detailed prompts

LLM Name	EverythingLM 13B 16K
Repository 🤗	https://huggingface.co/totally-not-an-llm/EverythingLM-13b-16k
Model Size	13b
Required VRAM	26 GB
Updated	2026-07-26
Maintainer	totally-not-an-llm
Model Type	llama
Model Files	9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.2 GB: 3-of-3
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.31.0
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 EverythingLM 13B 16K 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 EverythingLM 13B 16K

Model	Likes	Downloads	VRAM
EverythingLM 13B 16K GPTQ	14	70	7 GB
EverythingLM 13B 16K GGUF	3	218	5 GB
EverythingLM 13B 16K AWQ	1	5	7 GB
EverythingLM 13B 16K GGML	13	3	5 GB

Best Alternatives to EverythingLM 13B 16K

Best Alternatives	Context / RAM	Downloads	Likes
Luminaura RP 13B	128K / 26 GB	9	1
Yarn Llama 2 13B 128K	128K / 26 GB	184	113
Agent Llama2 13B 80K	80K / 26.4 GB	5	0
Chat Llama2 13B 80K	80K / 52.8 GB	5	0
LongAlign 13B 64K	64K / 26 GB	96	13
LongAlign 13B 64K Base	64K / 26 GB	89	3
LongAlign 13B 64K	64K / 26 GB	11	13
LongAlign 13B 64K Base	64K / 26 GB	6	3
Openbuddy Llama2 13B V15p1 64K	64K / 26.1 GB	4	4
Openbuddy Llama2 13b64k V15	64K / 26.1 GB	12	2

Note: green Score (e.g. "73.2") means that the model is better than totally-not-an-llm/EverythingLM-13b-16k.