What are the hardware requirements for Valen Preview 0923?

Valen Preview 0923 requires approximately 1.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Valen Preview 0923 and how large is it?

Valen Preview 0923 is developed by Valen-Team, a model with 2b 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 Valen Preview 0923?

Valen Preview 0923 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Valen Preview 0923 by Valen-Team — VRAM 1.2GB

Name: Valen Preview 0923
Author: Valen-Team

Valen Preview 0923 is an open-source language model by Valen-Team. Features: 2b LLM, VRAM: 1.2GB, License: apache-2.0, LLM Explorer Score: 0.33.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-2b Dataset:valen-team/valen-eval-... Dataset:valen-team/valen-train... Decision-making Image-text-to-text Lora Multimodal Pytorch Region:us Sokoban Valen

Model Card on HF 🤗: https://huggingface.co/Valen-Team/Valen-Preview-0923

Valen Preview 0923 Parameters and Internals

LLM Name	Valen Preview 0923
Repository 🤗	https://huggingface.co/Valen-Team/Valen-Preview-0923
Base Model(s)	Qwen/Qwen3.5-2B Qwen/Qwen3.5-2B
Model Size	2b
Required VRAM	1.2 GB
Updated	2026-10-01
Maintainer	Valen-Team
Model Files	1.2 GB
License	apache-2.0
LoRA Model	Yes
LoRA Alpha	64

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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