What are the hardware requirements for Qwen 3.5 4B Auto ASVD?

Qwen 3.5 4B Auto ASVD requires approximately 8.3 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 Qwen 3.5 4B Auto ASVD and how large is it?

Qwen 3.5 4B Auto ASVD is developed by Kodjaoglanian, 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 Qwen 3.5 4B Auto ASVD?

Qwen 3.5 4B Auto ASVD is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen 3.5 4B Auto ASVD by Kodjaoglanian — VRAM 8.3GB, 256K context

Name: Qwen 3.5 4B Auto ASVD
Author: Kodjaoglanian

Qwen 3.5 4B Auto ASVD is an open-source language model by Kodjaoglanian. Features: 4b LLM, VRAM: 8.3GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.33.

Auto-asvd Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-4b Conversational En Endpoints compatible Hessian-aware Lora Lora-healing Low-rank-factorization Qwen Qwen3.5 Qwen3 5 text Region:us Safetensors Structural-pruning

Model Card on HF 🤗: https://huggingface.co/Kodjaoglanian/Qwen-3.5-4B-Auto-ASVD

Qwen 3.5 4B Auto ASVD Parameters and Internals

LLM Name	Qwen 3.5 4B Auto ASVD
Repository 🤗	https://huggingface.co/Kodjaoglanian/Qwen-3.5-4B-Auto-ASVD
Base Model(s)	Qwen/Qwen3.5-4B Qwen/Qwen3.5-4B
Model Size	4b
Required VRAM	8.3 GB
Updated	2026-10-01
Maintainer	Kodjaoglanian
Model Type	qwen3_5_text
Model Files	8.3 GB
Supported Languages	en
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
LoRA Model	Yes
Errors	replace

Rank the Qwen 3.5 4B Auto ASVD 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 Qwen 3.5 4B Auto ASVD

Best Alternatives	Context / RAM	Downloads	Likes
NeoHorse 1 4B	256K / 8.4 GB	1771	179
Agents A1 4B Fable Preview	256K / 8.4 GB	103	0
JevK5	256K / 8.4 GB	5525	13
Wald 4B	256K / 8.4 GB	706	7
Aztec Coder 4B	256K / 8.4 GB	1197	4
JSBAI Coder 4B	256K / 8.4 GB	2795	1
WikiQwen 4B	256K / 8.4 GB	1125	2
...ocal Minutes Contextualizer 4B	256K / 8.4 GB	513	1
Jet	256K / 8.5 GB	954	1
...ihui NeoHorse 1 4B Abliterated	256K / 8.4 GB	546	4

Note: green Score (e.g. "73.2") means that the model is better than Kodjaoglanian/Qwen-3.5-4B-Auto-ASVD.