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

EverythingLM 13B 16K 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 EverythingLM 13B 16K GGUF and how large is it?

EverythingLM 13B 16K 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 EverythingLM 13B 16K GGUF?

EverythingLM 13B 16K GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EverythingLM 13B 16K GGUF by TheBloke — VRAM 5.4GB

Name: EverythingLM 13B 16K GGUF
Author: TheBloke

EverythingLM 13B 16K GGUF is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 5.4GB, License: llama2, Quantized, LLM Explorer Score: 0.09.

Base model:quantized:totally-n... Base model:totally-not-an-llm/... Dataset:totally-not-an-llm/eve... Gguf Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/EverythingLM-13B-16K-GGUF

EverythingLM 13B 16K GGUF Parameters and Internals

Model Type

llama

Use Cases

Primary Use Cases:

Creative stories, Detailed replies, Prompt understanding

Additional Notes

EverythingLM is an early test and not SOTA. Automatically triggered CoT reasoning, verbose replies, likes writing fairy tales, repetition issues, performs better with more detail.

Training Details

Data Sources:

EverythingLM dataset

Methodology:

QLoRa on 1xA100

Context Length:

16000

Training Time:

about 1 hour

Model Architecture:

LlongMa

Input Output

Input Format:

Modified Vicuna format

LLM Name	EverythingLM 13B 16K GGUF
Repository 🤗	https://huggingface.co/TheBloke/EverythingLM-13B-16K-GGUF
Model Name	EverythingLM 13B 16K
Model Creator	Kai Howard
Base Model(s)	EverythingLM 13B 16K totally-not-an-llm/EverythingLM-13b-16k
Model Size	13b
Required VRAM	5.4 GB
Updated	2026-07-29
Maintainer	TheBloke
Model Type	llama
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
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	llama2

Rank the EverythingLM 13B 16K 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 EverythingLM 13B 16K GGUF

Best Alternatives	Context / RAM	Downloads	Likes
MythoMax L2 13B GGUF	0K / 5.4 GB	33388	262
WhiteRabbitNeo 13B GGUF	0K / 5.4 GB	8943	62
Llama 3 13B Instruct V0.1 GGUF	0K / 5.1 GB	1940	5
Hermes 2 Pro Llama 3 13B GGUF	0K / 4.6 GB	149	1
Llama3 13B Ku GGUF	0K / 8.7 GB	52	0
...aMa 3 Instruct Zeroed 13B GGUF	0K / 5 GB	42	1
LLaMa 3 Base Zeroed 13B GGUF	0K / 5 GB	16	1
Model1	0K / 13.8 GB	16	0
Codellama 7B Instruct GGUF	0K / 2.8 GB	166	1
LlaMAndement 13B GGUF	0K / 4.8 GB	213	0

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/EverythingLM-13B-16K-GGUF.