What are the hardware requirements for Clio V1 Legacy?

Clio V1 Legacy requires approximately 6.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Clio V1 Legacy and how large is it?

Clio V1 Legacy is developed by NovelAI, 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 Clio V1 Legacy?

Clio V1 Legacy is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Clio V1 Legacy by NovelAI — VRAM 6.1GB, 8K context

Name: Clio V1 Legacy
Author: NovelAI

Clio V1 Legacy is an open-source language model by NovelAI. Features: 3b LLM, VRAM: 6.1GB, Context: 8K, License: gpl-2.0, Quantized, LLM Explorer Score: 0.39.

En Endpoints compatible Gguf Legacy Model Novelai Q4 Quantized Region:us Safetensors Sharded Stablelm Tensorflow

Model Card on HF 🤗: https://huggingface.co/NovelAI/clio-v1-legacy

Clio V1 Legacy Parameters and Internals

LLM Name	Clio V1 Legacy
Repository 🤗	https://huggingface.co/NovelAI/clio-v1-legacy
Model Size	3b
Required VRAM	6.1 GB
Updated	2026-09-27
Maintainer	NovelAI
Model Type	stablelm
Model Files	6.1 GB 1.7 GB 2.0 GB 2.3 GB 2.6 GB 3.2 GB 5.0 GB: 1-of-2 1.1 GB: 2-of-2
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	q4\|gguf\|q4_k\|q5_k
Model Architecture	StableLmForCausalLM
License	gpl-2.0
Context Length	8192
Model Max Length	8192
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	65536
Torch Data Type	bfloat16

Rank the Clio V1 Legacy 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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