What are the hardware requirements for Qwen2 7B Instruct GGUF?

Qwen2 7B Instruct GGUF requires approximately 3 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 Qwen2 7B Instruct GGUF and how large is it?

Qwen2 7B Instruct GGUF is developed by second-state, 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 Qwen2 7B Instruct GGUF?

Qwen2 7B Instruct GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 7B Instruct GGUF by second-state — VRAM 3GB, 32K context

Name: Qwen2 7B Instruct GGUF
Author: second-state

Qwen2 7B Instruct GGUF is an open-source language model by second-state. Features: 7b LLM, VRAM: 3GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

Base model:quantized:qwen/qwen... Base model:qwen/qwen2-7b-instr... Chat Conversational En Endpoints compatible Gguf Instruct Q2 Quantized Qwen2 Region:us

Model Card on HF 🤗: https://huggingface.co/second-state/Qwen2-7B-Instruct-GGUF

Qwen2 7B Instruct GGUF Parameters and Internals

Model Type

text-generation

Supported Languages

en (proficient)

Input Output

Accepted Modalities:

text

LLM Name	Qwen2 7B Instruct GGUF
Repository 🤗	https://huggingface.co/second-state/Qwen2-7B-Instruct-GGUF
Model Name	Qwen2-7B-Instruct
Model Creator	Qwen
Base Model(s)	Qwen2 7B Instruct Qwen/Qwen2-7B-Instruct
Model Size	7b
Required VRAM	3 GB
Updated	2026-08-01
Maintainer	second-state
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.0 GB 4.1 GB 3.8 GB 3.5 GB 4.4 GB 4.7 GB 4.5 GB 5.3 GB 5.4 GB 5.3 GB 6.2 GB 8.1 GB 15.2 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.41.2
Vocabulary Size	152064
Torch Data Type	bfloat16

Rank the Qwen2 7B Instruct 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 Qwen2 7B Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct Desyced	32K / 15.2 GB	472	1
Uraion Agent Steer	32K / 3 GB	490	1
Shellwhiz 7B	32K / 15.2 GB	145	0
Qwen2 Cantonese 7B Instruct	32K / 15.4 GB	121	4
Qwen 2.5 7B Threatflux	32K / 15.5 GB	72	6
...der 7B Instruct Abliterated V1	32K / 15.2 GB	32	3
Openthaigpt1.5 7B Instruct	32K / 15.2 GB	405	15
Qwen2 7B Instruct GGUF	32K / 3 GB	121	0
Qwen2.5 7B Instruct 1M 4bit	986K / 4.3 GB	444	11
...wen2.5 7B Instruct 1M Bnb 4bit	986K / 5.5 GB	267	1

Note: green Score (e.g. "73.2") means that the model is better than second-state/Qwen2-7B-Instruct-GGUF.