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: 0.25.

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

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Best Alternatives to Qwen 0.6B ConvFill

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S1 Mini	40K / 1.5 GB	1136	180
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
Qwen3 0.6B NWC	40K / 0.8 GB	234	1
Adtc Agri Sft Qwen3 0.6B	40K / 1.2 GB	619	0
Voho Saudi Speak 0.6B	40K / 1.2 GB	249	0
Qwen3 0.6B JSON SFT	40K / 1.2 GB	428	1
RIFA Edge 0.6B	40K / 1.2 GB	581	0
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Qwen3 0.6B JSON SFT	40K / 1.2 GB	1676	0
Blake Haiku 1	40K / 1.2 GB	386	0

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