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

EverythingLM 13B 16K GPTQ requires approximately 7.3 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 GPTQ and how large is it?

EverythingLM 13B 16K GPTQ 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.

How does EverythingLM 13B 16K GPTQ perform on standard benchmarks?

EverythingLM 13B 16K GPTQ has the following published scores: MMLU 25.4. Compare against reference models on this page or on the LLM Explorer leaderboards.

EverythingLM 13B 16K GPTQ by TheBloke — VRAM 7.3GB, 16K context

Name: EverythingLM 13B 16K GPTQ
Author: TheBloke

EverythingLM 13B 16K GPTQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.3GB, Context: 16K, License: llama2, Quantized, LLM Explorer Score: 0.12, Arc: 29.3, HellaSwag: 26.2, MMLU: 25.4, GSM8K: 5.4.

4-bit Base model:quantized:totally-n... Base model:totally-not-an-llm/... Dataset:totally-not-an-llm/eve... Gptq Llama Quantized Region:us Safetensors

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

EverythingLM 13B 16K GPTQ Parameters and Internals

Model Type

llama

Additional Notes

This model is an early test of the EverythingLM dataset and some new experimental principles, so don't consider it SOTA.

Training Details

Data Sources:

EverythingLM dataset

Methodology:

QLoRa

Context Length:

16000

Training Time:

1 hour

Hardware Used:

1xA100

Model Architecture:

llama-2 based

LLM Name	EverythingLM 13B 16K GPTQ
Repository 🤗	https://huggingface.co/TheBloke/EverythingLM-13B-16K-GPTQ
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	7.3 GB
Updated	2026-08-06
Maintainer	TheBloke
Model Type	llama
Model Files	7.3 GB
GPTQ Quantization	Yes
Quantization Type	gptq
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 GPTQ capabilities

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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

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