What are the hardware requirements for Chytrej 90M Base?

Chytrej 90M Base requires approximately 0.2 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 Chytrej 90M Base and how large is it?

Chytrej 90M Base is developed by pvlabs, a model with 90m 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 Chytrej 90M Base?

Chytrej 90M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Chytrej 90M Base by pvlabs — VRAM 0.2GB, 8K context

Name: Chytrej 90M Base
Author: pvlabs

Chytrej 90M Base is an open-source language model by pvlabs. Features: 90m LLM, VRAM: 0.2GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.24.

Base Chytrej En Endpoints compatible Llama Pretrained Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/pvlabs/Chytrej-90M-Base

Chytrej 90M Base Parameters and Internals

LLM Name	Chytrej 90M Base
Repository 🤗	https://huggingface.co/pvlabs/Chytrej-90M-Base
Model Size	90m
Required VRAM	0.2 GB
Updated	2026-03-31
Maintainer	pvlabs
Model Type	llama
Model Files	0.2 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	50259

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

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BigWeave V9 90B	4K / 175.7 GB	4	1
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