What are the hardware requirements for Qwen 3B ASVD Healed?

Qwen 3B ASVD Healed requires approximately 5.8 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 Qwen 3B ASVD Healed and how large is it?

Qwen 3B ASVD Healed is developed by Kodjaoglanian, a model with 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 Qwen 3B ASVD Healed?

Qwen 3B ASVD Healed is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen 3B ASVD Healed by Kodjaoglanian — VRAM 5.8GB, 32K context

Name: Qwen 3B ASVD Healed
Author: Kodjaoglanian

Qwen 3B ASVD Healed is an open-source language model by Kodjaoglanian. Features: 3b LLM, VRAM: 5.8GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.27.

Asvd Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b Compression Conversational Edge-ai En Endpoints compatible Lora Lora-healing Low-rank-factorization Pruning Qwen Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Kodjaoglanian/Qwen-3B-ASVD-Healed

Qwen 3B ASVD Healed Parameters and Internals

LLM Name	Qwen 3B ASVD Healed
Repository 🤗	https://huggingface.co/Kodjaoglanian/Qwen-3B-ASVD-Healed
Base Model(s)	Qwen/Qwen2.5-3B Qwen/Qwen2.5-3B
Model Size	3b
Required VRAM	5.8 GB
Updated	2026-10-04
Maintainer	Kodjaoglanian
Model Type	qwen2
Model Files	5.8 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.13.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
LoRA Model	Yes
Errors	replace

Rank the Qwen 3B ASVD Healed 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

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Note: green Score (e.g. "73.2") means that the model is better than Kodjaoglanian/Qwen-3B-ASVD-Healed.