What are the hardware requirements for Qwen1.5 MoE A2.7B Chat GPTQ Int4?

Qwen1.5 MoE A2.7B Chat GPTQ Int4 requires approximately 8.4 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 MoE A2.7B Chat GPTQ Int4 and how large is it?

Qwen1.5 MoE A2.7B Chat GPTQ Int4 is developed by Qwen, a model with 14.3b 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 Qwen1.5 MoE A2.7B Chat GPTQ Int4?

Qwen1.5 MoE A2.7B Chat GPTQ Int4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen1.5 MoE A2.7B Chat GPTQ Int4 by Qwen — VRAM 8.4GB, 32K context

Name: Qwen1.5 MoE A2.7B Chat GPTQ Int4
Author: Qwen

Qwen1.5 MoE A2.7B Chat GPTQ Int4 is an open-source language model by Qwen. Features: 14.3b LLM, VRAM: 8.4GB, Context: 32K, License: other, MoE, Quantized, LLM Explorer Score: 0.13.

4-bit Chat Conversational En Endpoints compatible Gptq Moe Quantized Qwen2 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B-Chat-GPTQ-Int4

Qwen1.5 MoE A2.7B Chat GPTQ Int4 Parameters and Internals

LLM Name	Qwen1.5 MoE A2.7B Chat GPTQ Int4
Repository 🤗	https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B-Chat-GPTQ-Int4
Model Size	14.3b
Required VRAM	8.4 GB
Updated	2026-07-19
Maintainer	Qwen
Model Type	qwen2_moe
Model Files	4.0 GB: 1-of-3 3.8 GB: 2-of-3 0.6 GB: 3-of-3
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	Qwen2MoeForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.39.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Qwen1.5 MoE A2.7B Chat GPTQ Int4 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
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Code Generation
Multi-Language Support and Translation

Best Alternatives to Qwen1.5 MoE A2.7B Chat GPTQ Int4

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Qwen1.5 MoE A2.7B Chat	32K / 28.7 GB	40226	133
Qwen1.5 MoE A2.7B	8K / 28.7 GB	223	0
Qwen1.5 MoE A2.7B	8K / 28.7 GB	209172	227
...Aux Free Sft Math7k 1e 3 Gamma	8K / 28.7 GB	6	1
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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen1.5-MoE-A2.7B-Chat-GPTQ-Int4.