What are the hardware requirements for Qwen1.5 7B Chat 4bit?

Qwen1.5 7B Chat 4bit requires approximately 5.2 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 Qwen1.5 7B Chat 4bit and how large is it?

Qwen1.5 7B Chat 4bit 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 Qwen1.5 7B Chat 4bit perform on standard benchmarks?

Qwen1.5 7B Chat 4bit has the following published scores: MMLU 60.7. Compare against reference models on this page or on the LLM Explorer leaderboards.

Qwen1.5 7B Chat 4bit by mlx-community — VRAM 5.2GB, 32K context

Name: Qwen1.5 7B Chat 4bit
Author: mlx-community

Qwen1.5 7B Chat 4bit is an open-source language model by mlx-community. Features: 7b LLM, VRAM: 5.2GB, Context: 32K, License: other, Quantized, LLM Explorer Score: 0.14, Arc: 50.8, HellaSwag: 74.2, MMLU: 60.7, GSM8K: 27.5.

4bit Chat Conversational En Mlx Quantized Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen1.5-7B-Chat-4bit

Qwen1.5 7B Chat 4bit Parameters and Internals

Model Type

text-generation

Additional Notes

This model was converted to MLX format.

LLM Name	Qwen1.5 7B Chat 4bit
Repository 🤗	https://huggingface.co/mlx-community/Qwen1.5-7B-Chat-4bit
Base Model(s)	... Chat Roleplay Chat Lora Small svjack/Genshin_Impact_Qwen_1_5_Plot_Chat_roleplay_chat_lora_small
Model Size	7b
Required VRAM	5.2 GB
Updated	2026-08-05
Maintainer	mlx-community
Model Type	qwen2
Model Files	5.2 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen1.5 7B Chat 4bit 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 7B Chat 4bit

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
Qwen 7B Kiberbase	128K / 15.2 GB	788	0
A1 V002	128K / 15.2 GB	7	0
Mini Pathfinder	128K / 15.2 GB	16	0
A1 V0.0.1	128K / 15.2 GB	8	0
CogitoDistil	128K / 15.2 GB	14	0

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen1.5-7B-Chat-4bit.