What are the hardware requirements for Breeze 7B Instruct V0.1 GPTQ?

Breeze 7B Instruct V0.1 GPTQ requires approximately 4.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Breeze 7B Instruct V0.1 GPTQ and how large is it?

Breeze 7B Instruct V0.1 GPTQ is developed by MaziyarPanahi, a model with 7b 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 Breeze 7B Instruct V0.1 GPTQ?

Breeze 7B Instruct V0.1 GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Breeze 7B Instruct V0.1 GPTQ by MaziyarPanahi — VRAM 4.7GB, 32K context

Name: Breeze 7B Instruct V0.1 GPTQ
Author: MaziyarPanahi

Breeze 7B Instruct V0.1 GPTQ is an open-source language model by MaziyarPanahi. Features: 7b LLM, VRAM: 4.7GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

4-bit Autotrain compatible Base model:finetune:mediatek-r... Base model:mediatek-research/b... Conversational En Endpoints compatible Finetuned Gptq Has space Instruct Mistral Pytorch Quantized Region:us Safetensors Zh

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Breeze-7B-Instruct-v0_1-GPTQ

Breeze 7B Instruct V0.1 GPTQ Parameters and Internals

Model Type

text-generation

LLM Name	Breeze 7B Instruct V0.1 GPTQ
Repository 🤗	https://huggingface.co/MaziyarPanahi/Breeze-7B-Instruct-v0_1-GPTQ
Model Name	Breeze-7B-Instruct-v0_1-GPTQ
Model Creator	MediaTek-Research
Base Model(s)	Breeze 7B Instruct V0.1 MediaTek-Research/Breeze-7B-Instruct-v0_1
Model Size	7b
Required VRAM	4.7 GB
Updated	2026-08-04
Maintainer	MaziyarPanahi
Model Type	mistral
Instruction-Based	Yes
Model Files	4.7 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	61952
Torch Data Type	float16

Rank the Breeze 7B Instruct V0.1 GPTQ 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 Breeze 7B Instruct V0.1 GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
Mistral 7B Instruct V0.3 GPTQ	32K / 4.2 GB	113881	1
...ral 7B Instruct V0.3 GPTQ 4bit	32K / 4.2 GB	2946	18
...ral 7B Instruct V0.3 GPTQ 4bit	32K / 4.2 GB	2658	25
Mistral 7B Instruct V0.2 GPTQ	32K / 4.2 GB	6743	56
Mistral 7B Instruct V0.3 GPTQ	32K / 4.2 GB	13	0
...tral 7B Instruct 32K GPTQ INT8	32K / 7.7 GB	22	1
...ral 7B Instruct V0.3 GPTQ 4bit	32K / 4.2 GB	6	0
...stral 7B Instruct V0.3 GPTQ 8B	32K / 7.7 GB	3	1
...stral 7B Instruct V0.3 GPTQ 4B	32K / 4.2 GB	5	0
...nstruct V0.2 Neural Story GPTQ	32K / 4.6 GB	6	1

Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Breeze-7B-Instruct-v0_1-GPTQ.