What are the hardware requirements for RWKV7 1.5B SMI 20260822?

RWKV7 1.5B SMI 20260822 requires approximately 3.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed RWKV7 1.5B SMI 20260822 and how large is it?

RWKV7 1.5B SMI 20260822 is developed by aabbdev, a model with 1.5b 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 RWKV7 1.5B SMI 20260822?

RWKV7 1.5B SMI 20260822 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

RWKV7 1.5B SMI 20260822 by aabbdev — VRAM 3.1GB

Name: RWKV7 1.5B SMI 20260822
Author: aabbdev

RWKV7 1.5B SMI 20260822 is an open-source language model by aabbdev. Features: 1.5b LLM, VRAM: 3.1GB, License: apache-2.0, LLM Explorer Score: 0.32.

Base model:aabbdev/rwkv7-1.5b-... Base model:finetune:aabbdev/rw... Conversational Custom code Dataset:coherelabs/aya dataset Dataset:huggingfaceh4/ultracha... Dataset:nousresearch/hermes-fu... Dataset:nvidia/nemotron-sft-ag... Dataset:nvidia/opencodeinstruc... Dataset:open-r1/openr1-math-22... Region:us Rwkv Rwkv7 Safetensors Smi

Model Card on HF 🤗: https://huggingface.co/aabbdev/RWKV7-1.5B-SMI-20260822

RWKV7 1.5B SMI 20260822 Parameters and Internals

LLM Name	RWKV7 1.5B SMI 20260822
Repository 🤗	https://huggingface.co/aabbdev/RWKV7-1.5B-SMI-20260822
Base Model(s)	aabbdev/RWKV7-1.5B-20260805 aabbdev/RWKV7-1.5B-20260805
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-08-25
Maintainer	aabbdev
Model Type	rwkv7
Model Files	3.1 GB
Model Architecture	Rwkv7ForCausalLM
License	apache-2.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	65546

Rank the RWKV7 1.5B SMI 20260822 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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