What are the hardware requirements for Hermes RWKV V5 3B HF?

Hermes RWKV V5 3B HF requires approximately 6.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Hermes RWKV V5 3B HF and how large is it?

Hermes RWKV V5 3B HF is developed by EleutherAI, a model with 3b 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 Hermes RWKV V5 3B HF?

Hermes RWKV V5 3B HF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hermes RWKV V5 3B HF by EleutherAI — VRAM 6.1GB

Name: Hermes RWKV V5 3B HF
Author: EleutherAI

Hermes RWKV V5 3B HF is an open-source language model by EleutherAI. Features: 3b LLM, VRAM: 6.1GB, License: apache-2.0, LLM Explorer Score: 0.12.

Custom code Dataset:teknium/openhermes-2.5 En Region:us Rwkv5 Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/EleutherAI/Hermes-RWKV-v5-3B-HF

Hermes RWKV V5 3B HF Parameters and Internals

LLM Name	Hermes RWKV V5 3B HF
Repository 🤗	https://huggingface.co/EleutherAI/Hermes-RWKV-v5-3B-HF
Model Size	3b
Required VRAM	6.1 GB
Updated	2026-08-06
Maintainer	EleutherAI
Model Type	rwkv5
Model Files	5.0 GB: 1-of-2 1.1 GB: 2-of-2
Supported Languages	en
Model Architecture	Rwkv5ForCausalLM
License	apache-2.0
Transformers Version	4.38.0.dev0
Tokenizer Class	RWKVWorldTokenizer
Vocabulary Size	65536
Torch Data Type	bfloat16

Rank the Hermes RWKV V5 3B HF 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

Best Alternatives to Hermes RWKV V5 3B HF

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HF Rwkv 3B 48 2048 Ctx16384	0K / 11.7 GB	5	1
Rwkv 5 World 3B	0K / 3.2 GB	841	24