What are the hardware requirements for QWev2?

QWev2 requires approximately 1 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 QWev2 and how large is it?

QWev2 is developed by C10X, a model with 0.5b 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 QWev2?

QWev2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

QWev2 by C10X — VRAM 1GB, 32K context

Name: QWev2
Author: C10X

QWev2 is an open-source language model by C10X. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.31.

4bit Conversational En Endpoints compatible Instruct Quantized Qwen2 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/C10X/QWev2

QWev2 Parameters and Internals

LLM Name	QWev2
Repository 🤗	https://huggingface.co/C10X/QWev2
Base Model(s)	unsloth/qwen2.5-0.5b-instruct-unsloth-bnb-4bit unsloth/qwen2.5-0.5b-instruct-unsloth-bnb-4bit
Model Size	0.5b
Required VRAM	1 GB
Updated	2026-09-21
Maintainer	C10X
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.0 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the QWev2 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

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Qwen Dumb Merged	32K / 1 GB	309	0
Pgabl Ft Nama Siswa	32K / 1 GB	253	0
Legal Rag Qwen Sft	32K / 1 GB	204	0
Atomight V2.2 UltraThink 0.5B	32K / 1 GB	54	1
...mmanuel Siagian Exp1 Lr2e5 R16	32K / 1 GB	11	0
BoyBarley Sparky	32K / 1 GB	21	0
...0.5B Instruct Unsloth Bnb 4bit	32K / 0.5 GB	37753	6
Qwen2.5 0.5B Instruct 4bit	32K / 0.3 GB	15769	7
Qwen2.5 0.5B Instruct Bnb 4bit	32K / 0.5 GB	14598	4
...5 Coder 0.5B Instruct Bnb 4bit	32K / 0.5 GB	6612	4