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

EverythingLM 13B 16K GGML requires approximately 5.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

EverythingLM 13B 16K GGML 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 GGML?

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

EverythingLM 13B 16K GGML by TheBloke — VRAM 5.5GB

Name: EverythingLM 13B 16K GGML
Author: TheBloke

EverythingLM 13B 16K GGML is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 5.5GB, License: llama2, Quantized, LLM Explorer Score: 0.08.

Base model:finetune:totally-no... Base model:totally-not-an-llm/... Dataset:totally-not-an-llm/eve... Ggml Llama Quantized Region:us

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

EverythingLM 13B 16K GGML Parameters and Internals

Model Type

llama

Use Cases

Primary Use Cases:

Automatically triggered CoT reasoning., Verbose and detailed replies., Creative stories., Better prompt understanding.

Limitations:

It likes to write fairy tales over anything else, which is strange., Occasionally it will fall into repetition.

Considerations:

Due to the nature of the dataset, it does better with more detail. It provides better stories with more requirements and frequently uses numbered lists.

Additional Notes

Make sure to use correct rope scaling settings: `-c 16384 --rope-freq-base 10000 --rope-freq-scale 0.25`. This model is an early test and should not be considered state-of-the-art.

Training Details

Data Sources:

totally-not-an-llm/EverythingLM-data

Context Length:

16384

Hardware Used:

1xA100

Model Architecture:

llama-2 based, general-purpose

LLM Name	EverythingLM 13B 16K GGML
Repository 🤗	https://huggingface.co/TheBloke/EverythingLM-13B-16K-GGML
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	5.5 GB
Updated	2026-07-31
Maintainer	TheBloke
Model Type	llama
Model Files	5.5 GB 6.9 GB 6.3 GB 5.7 GB 7.4 GB 8.2 GB 7.9 GB 7.4 GB 9.0 GB 9.8 GB 9.2 GB 9.0 GB 10.7 GB 13.8 GB
GGML Quantization	Yes
Quantization Type	ggml
Model Architecture	AutoModel
License	llama2

Rank the EverythingLM 13B 16K GGML 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 GGML

Best Alternatives	Context / RAM	Downloads	Likes
Llama 2 13B Chat GGML	0K / 5.5 GB	158	693
RuGPT 3.5 13B GGML	0K / 7.4 GB	10	8
RuGPT 3.5 13B GGML	0K / 7.4 GB	10	15
...penBuddy Llama2 13B V11.1 GGML	0K / 5.5 GB	11	5
...rca Platypus WizardLM 13B GGML	0K / 5.5 GB	6	6
Yarn Llama 2 13B 128K GGML	0K / 5.5 GB	5	6
Yarn Llama 2 13B 64K GGML	0K / 5.5 GB	7	5
Stheno L2 13B GGML	0K / 5.5 GB	7	5
Speechless Llama2 13B GGML	0K / 5.5 GB	4	2
Asclepius 13B GGML	0K / 5.5 GB	6	1

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