What are the hardware requirements for Qwen1.5 22B Chat Merge GGUF?

Qwen1.5 22B Chat Merge GGUF requires approximately 12.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen1.5 22B Chat Merge GGUF and how large is it?

Qwen1.5 22B Chat Merge GGUF is developed by DisOOM, 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 Qwen1.5 22B Chat Merge GGUF?

Qwen1.5 22B Chat Merge GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen1.5 22B Chat Merge GGUF by DisOOM — VRAM 12.6GB

Name: Qwen1.5 22B Chat Merge GGUF
Author: DisOOM

Qwen1.5 22B Chat Merge GGUF is an open-source language model by DisOOM. Features: 22b LLM, VRAM: 12.6GB, License: other, Quantized, Merged, LLM Explorer Score: 0.11.

Merged Model 2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Conversational Endpoints compatible Gguf Pytorch Q4 Quantized Qwen2 Region:us

Model Card on HF 🤗: https://huggingface.co/DisOOM/Qwen1.5-22B-Chat-Merge-GGUF

Qwen1.5 22B Chat Merge GGUF Parameters and Internals

Model Type

text-generation, conversational

Additional Notes

The model suffered from broken implementations when using certain k quantized methods, hence there's no k quantized models available.

LLM Name	Qwen1.5 22B Chat Merge GGUF
Repository 🤗	https://huggingface.co/DisOOM/Qwen1.5-22B-Chat-Merge-GGUF
Merged Model	Yes
Model Size	22b
Required VRAM	12.6 GB
Updated	2026-08-24
Maintainer	DisOOM
Model Type	qwen2
Model Files	12.6 GB 15.3 GB 23.4 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q4
Model Architecture	AutoModel
License	other

Rank the Qwen1.5 22B Chat Merge 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 Qwen1.5 22B Chat Merge 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
Nucleus 22B Token 500B GGUF	0K / 9.1 GB	345	3
Llama2 22B Daydreamer V3 GGUF	0K / 9.1 GB	362	2
Llama2 22B GPLATTY GGUF	0K / 9.1 GB	168	3
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 DisOOM/Qwen1.5-22B-Chat-Merge-GGUF.