What are the hardware requirements for Hunyuan 1.8B Instruct GPTQ Int4?

Hunyuan 1.8B Instruct GPTQ Int4 requires approximately 1.3 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Hunyuan 1.8B Instruct GPTQ Int4 and how large is it?

Hunyuan 1.8B Instruct GPTQ Int4 is developed by tencent, a model with 1.8b 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 Hunyuan 1.8B Instruct GPTQ Int4?

Hunyuan 1.8B Instruct GPTQ Int4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hunyuan 1.8B Instruct GPTQ Int4 by tencent — VRAM 1.3GB, 256K context

Name: Hunyuan 1.8B Instruct GPTQ Int4
Author: tencent

Hunyuan 1.8B Instruct GPTQ Int4 is an open-source language model by tencent. Features: 1.8b LLM, VRAM: 1.3GB, Context: 256K, Quantized, Instruction-Based, LLM Explorer Score: 0.19.

4-bit Base model:quantized:tencent/h... Base model:tencent/hunyuan-1.8... Conversational Endpoints compatible Gptq Hunyuan v1 dense Instruct Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/tencent/Hunyuan-1.8B-Instruct-GPTQ-Int4

Hunyuan 1.8B Instruct GPTQ Int4 Parameters and Internals

LLM Name	Hunyuan 1.8B Instruct GPTQ Int4
Repository 🤗	https://huggingface.co/tencent/Hunyuan-1.8B-Instruct-GPTQ-Int4
Base Model(s)	tencent/Hunyuan-1.8B-Instruct tencent/Hunyuan-1.8B-Instruct
Model Size	1.8b
Required VRAM	1.3 GB
Updated	2026-08-08
Maintainer	tencent
Model Type	hunyuan_v1_dense
Instruction-Based	Yes
Model Files	1.3 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	HunYuanDenseV1ForCausalLM
Context Length	262144
Model Max Length	262144
Transformers Version	4.52.4
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<｜hy_▁pad▁｜>
Vocabulary Size	120818
Torch Data Type	bfloat16

Rank the Hunyuan 1.8B Instruct 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
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Hunyuan 1.8B Instruct GPTQ Int4

Best Alternatives	Context / RAM	Downloads	Likes
Hunyuan 1.8B Instruct	256K / 3.6 GB	272	602
Hunyuan 1.8B Instruct AWQ Int4	256K / 1.3 GB	28	3

Note: green Score (e.g. "73.2") means that the model is better than tencent/Hunyuan-1.8B-Instruct-GPTQ-Int4.