What are the hardware requirements for Qwen3.5 4B INT8?

Qwen3.5 4B INT8 requires approximately 4.8 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 Qwen3.5 4B INT8 and how large is it?

Qwen3.5 4B INT8 is developed by AxisQuant, a model with 4b 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 Qwen3.5 4B INT8?

Qwen3.5 4B INT8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 4B INT8 by AxisQuant — VRAM 4.8GB, 256K context

Name: Qwen3.5 4B INT8
Author: AxisQuant

Qwen3.5 4B INT8 is an open-source language model by AxisQuant. Features: 4b LLM, VRAM: 4.8GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.25.

8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-4b Bitsandbytes Conversational En Endpoints compatible Int8 Quantization Qwen Qwen3.5 Qwen3 5 text Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/AxisQuant/Qwen3.5-4B-INT8

Qwen3.5 4B INT8 Parameters and Internals

LLM Name	Qwen3.5 4B INT8
Repository 🤗	https://huggingface.co/AxisQuant/Qwen3.5-4B-INT8
Base Model(s)	Qwen/Qwen3.5-4B Qwen/Qwen3.5-4B
Model Size	4b
Required VRAM	4.8 GB
Updated	2026-08-11
Maintainer	AxisQuant
Model Type	qwen3_5_text
Model Files	4.8 GB
Supported Languages	en
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.7.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.5 4B INT8 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 Qwen3.5 4B INT8

Best Alternatives	Context / RAM	Downloads	Likes
Agents A1 4B Fable Preview	256K / 8.4 GB	103	0
...ts A1 4B Fable Preview Heretic	256K / 8.4 GB	2285	2
Qwen35 4B T13 Opd Rkl Ckpt50	256K / 8.4 GB	467	0
Zira Researcher	256K / 8.4 GB	11404	12
...nts A1 4B Kimi Preview Heretic	256K / 8.4 GB	287	0
Qwen3.5 4B EU	256K / 9.7 GB	87	0
Qwen35 4B Soyuz Merged	256K / 8.4 GB	73	3
Retrico Lm 4B Finetuned V4	256K / 0 GB	143	0
Holo 3.1 4B Coder	256K / 16.8 GB	41	1
Qwen3.5 4B INT8	256K / 4.8 GB	111	2

Note: green Score (e.g. "73.2") means that the model is better than AxisQuant/Qwen3.5-4B-INT8.