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

Qwen1.5 7B Chat AWQ requires approximately 5.9 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 AWQ and how large is it?

Qwen1.5 7B Chat AWQ is developed by Qwen, 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 AWQ perform on standard benchmarks?

Qwen1.5 7B Chat AWQ 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 AWQ by Qwen — VRAM 5.9GB, 32K context

Name: Qwen1.5 7B Chat AWQ
Author: Qwen

Qwen1.5 7B Chat AWQ is an open-source language model by Qwen. Features: 7b LLM, VRAM: 5.9GB, Context: 32K, License: other, Quantized, LLM Explorer Score: 0.13, Arc: 50.8, HellaSwag: 74.2, MMLU: 60.7, GSM8K: 27.5.

Arxiv:2309.16609 4-bit Awq Chat Conversational En Endpoints compatible Quantized Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen1.5-7B-Chat-AWQ

Qwen1.5 7B Chat AWQ Parameters and Internals

Model Type

text-generation, chat

Additional Notes

Stable support of 32K context length for models of all sizes. No need of 'trust_remote_code'.

Supported Languages

multilingual ()

Training Details

Methodology:

supervised finetuning and direct preference optimization

Context Length:

32000

Model Architecture:

Transformer architecture with SwiGLU activation, attention QKV bias, group query attention, mixture of sliding window attention and full attention.

Input Output

Input Format:

tokenized input using the tokenizer

Accepted Modalities:

text

Output Format:

text response generation

Performance Tips:

If you encounter code switching or other undesirable results, use provided hyper-parameters in 'generation_config.json'.

LLM Name	Qwen1.5 7B Chat AWQ
Repository 🤗	https://huggingface.co/Qwen/Qwen1.5-7B-Chat-AWQ
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	5.9 GB
Updated	2026-07-11
Maintainer	Qwen
Model Type	qwen2
Model Files	4.0 GB: 1-of-2 1.9 GB: 2-of-2
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Qwen1.5 7B Chat AWQ 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

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