What are the hardware requirements for Gte Qwen2 7B Instruct 4bit DWQ?

Gte Qwen2 7B Instruct 4bit DWQ requires approximately 4.3 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gte Qwen2 7B Instruct 4bit DWQ and how large is it?

Gte Qwen2 7B Instruct 4bit DWQ is developed by mlx-community, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Gte Qwen2 7B Instruct 4bit DWQ perform on standard benchmarks?

Gte Qwen2 7B Instruct 4bit DWQ has the following published scores: MMLU 59.7. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gte Qwen2 7B Instruct 4bit DWQ by mlx-community — VRAM 4.3GB, 128K context

Name: Gte Qwen2 7B Instruct 4bit DWQ
Author: mlx-community

Gte Qwen2 7B Instruct 4bit DWQ is an open-source language model by mlx-community. Features: 7b LLM, VRAM: 4.3GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.18, Arc: 83.6, HellaSwag: 75, MMLU: 59.7, GSM8K: 54.1.

4-bit 4bit Base model:alibaba-nlp/gte-qwe... Base model:quantized:alibaba-n... Conversational Custom code Endpoints compatible Instruct Mlx Model-index Mteb Quantized Qwen2 Region:us Safetensors Sentence-similarity Sentence-transformers

Model Card on HF 🤗: https://huggingface.co/mlx-community/gte-Qwen2-7B-instruct-4bit-DWQ

Gte Qwen2 7B Instruct 4bit DWQ Parameters and Internals

LLM Name	Gte Qwen2 7B Instruct 4bit DWQ
Repository 🤗	https://huggingface.co/mlx-community/gte-Qwen2-7B-instruct-4bit-DWQ
Base Model(s)	Gte Qwen2 7B Instruct Alibaba-NLP/gte-Qwen2-7B-instruct
Model Size	7b
Required VRAM	4.3 GB
Updated	2026-07-30
Maintainer	mlx-community
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.3 GB
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.41.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151646
Torch Data Type	float32
Errors	replace

Rank the Gte Qwen2 7B Instruct 4bit DWQ 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

Best Alternatives to Gte Qwen2 7B Instruct 4bit DWQ

Best Alternatives	Context / RAM	Downloads	Likes
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
Qwen2.5 7B Instruct 1M 8bit	986K / 8.1 GB	63	4
Qwen2.5 7B Instruct 1M 6bit	986K / 6.2 GB	52	2
...B Instruct 1M Unsloth Bnb 4bit	986K / 7.5 GB	37	3
Alisia 7B Instruct V1	128K / 15.4 GB	114	2
...5 7B Instruct SFT Meme LoRA V7	128K / 15.2 GB	6	0
Grok Demon 7b	32K / 15.2 GB	852	1
Qwen2.5 7B Security Cot	32K / 15.2 GB	364	2
Huginn Cs Tutor V1	32K / 15.2 GB	276	1

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gte-Qwen2-7B-instruct-4bit-DWQ.