What are the hardware requirements for Qwen 0.6B ConvFill?

Qwen 0.6B ConvFill requires approximately 1.2 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen 0.6B ConvFill and how large is it?

Qwen 0.6B ConvFill is developed by vysri, a model with 0.6b 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 0.6B ConvFill?

Qwen 0.6B ConvFill is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen 0.6B ConvFill by vysri — VRAM 1.2GB, 40K context

Name: Qwen 0.6B ConvFill
Author: vysri

Qwen 0.6B ConvFill is an open-source language model by vysri. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.26.

Arxiv:2511.07397 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b Conversational Dataset:zenglhardt/convfill-da... En Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/vysri/Qwen-0.6B-ConvFill

Qwen 0.6B ConvFill Parameters and Internals

LLM Name	Qwen 0.6B ConvFill
Repository 🤗	https://huggingface.co/vysri/Qwen-0.6B-ConvFill
Base Model(s)	Qwen/Qwen3-0.6B Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-08-07
Maintainer	vysri
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	5.5.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151670
Errors	replace

Rank the Qwen 0.6B ConvFill 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 0.6B ConvFill

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
Privasis Cleaner 0.6B	40K / 1.2 GB	1171	18
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Privasis Cleaner 0.6B	40K / 1.2 GB	68	0
Qwen3 0.6B Sushi Code Expert	40K / 1.5 GB	40	0
GLM 5.1 Qwen3 0.6B CoNDeNse	40K / 1.5 GB	445	2
Qwen3 0.6B	40K / 1.2 GB	99924	22
Palindrome Sft Qwen3	40K / 2.4 GB	141	0
Foggen	40K / 1.2 GB	35	5
Palindrome Sft V2 Qwen3	40K / 2.4 GB	81	0

Note: green Score (e.g. "73.2") means that the model is better than vysri/Qwen-0.6B-ConvFill.