What are the hardware requirements for Llama2 22B GPLATTY GGUF?

Llama2 22B GPLATTY GGUF requires approximately 9.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama2 22B GPLATTY GGUF and how large is it?

Llama2 22B GPLATTY GGUF is developed by TheBloke, a model with 22b 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 Llama2 22B GPLATTY GGUF?

Llama2 22B GPLATTY GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama2 22B GPLATTY GGUF by TheBloke — VRAM 9.1GB

Name: Llama2 22B GPLATTY GGUF
Author: TheBloke

Llama2 22B GPLATTY GGUF is an open-source language model by TheBloke. Features: 22b LLM, VRAM: 9.1GB, License: llama2, Quantized, LLM Explorer Score: 0.09.

Base model:grimpep/llama2-22b-... Base model:quantized:grimpep/l... Gguf Llama Llama2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/Llama2-22B-GPLATTY-GGUF

Llama2 22B GPLATTY GGUF Parameters and Internals

Model Type

llama

Additional Notes

This model is an experiment using the frankenstein script from https://huggingface.co/chargoddard/llama2-22b. It merges an already merged 13B Llama v2 model (GUACHAT + KIMIKO). Then used https://huggingface.co/TheBloke/GPlatty-30B-SuperHOT-8K-fp16 as donor model. It used 160GB of system ram to merge these models, without swap. It exhibits no strange behavior when generating, but more hallucinations than usual might occur. The model is experimental and might be more ethically aligned than other versions.

LLM Name	Llama2 22B GPLATTY GGUF
Repository 🤗	https://huggingface.co/TheBloke/Llama2-22B-GPLATTY-GGUF
Model Name	Llama2 22B GPLATTY
Model Creator	grimpep
Base Model(s)	grimpep/llama2-22B-GPLATTY grimpep/llama2-22B-GPLATTY
Model Size	22b
Required VRAM	9.1 GB
Updated	2026-08-01
Maintainer	TheBloke
Model Type	llama
Model Files	9.1 GB 11.6 GB 10.6 GB 9.5 GB 12.3 GB 13.2 GB 12.4 GB 15.0 GB 15.5 GB 15.0 GB 17.9 GB 23.2 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	llama2

Rank the Llama2 22B GPLATTY 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 Llama2 22B GPLATTY GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Codestral 22B V0.1 GGUF	0K / 4.8 GB	2720	9
...t2cypher Codestral Q4 K M Gguf	0K / 13.3 GB	160	5
...xt2cypher Codestral 16bit Gguf	0K / 44.5 GB	47	0
Qwen1.5 22B Chat Merge GGUF	0K / 12.6 GB	32	1
Nucleus 22B Token 500B GGUF	0K / 9.1 GB	345	3
Llama2 22B Daydreamer V3 GGUF	0K / 9.1 GB	362	2
Huginn 22B Prototype GGUF	0K / 9.1 GB	301	2
Llama2 22B Daydreamer V2 GGUF	0K / 9.1 GB	166	1
Huginn 22B Prototype GGML	0K / 9.2 GB	4	1
Llama2 22B GPLATTY GGML	0K / 9.2 GB	5	7

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Llama2-22B-GPLATTY-GGUF.