What are the hardware requirements for Chytrej2 Mini It?

Chytrej2 Mini It requires a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Chytrej2 Mini It and how large is it?

Chytrej2 Mini It is developed by pvlabs, a model with 20.2m 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 Chytrej2 Mini It?

Chytrej2 Mini It is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Chytrej2 Mini It by pvlabs — 1K context

Name: Chytrej2 Mini It
Author: pvlabs

Chytrej2 Mini It is an open-source language model by pvlabs. Features: 20.2m LLM, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.23.

Base model:finetune:pvlabs/chy... Base model:pvlabs/chytrej2-min... Chatml Chytrej Dataset:huggingfacetb/everyday... En Endpoints compatible Finetuned Instruct Llama Region:us Safetensors Tiny

Model Card on HF 🤗: https://huggingface.co/pvlabs/Chytrej2-Mini-It

Chytrej2 Mini It Parameters and Internals

LLM Name	Chytrej2 Mini It
Repository 🤗	https://huggingface.co/pvlabs/Chytrej2-Mini-It
Base Model(s)	Chytrej2 Mini pvlabs/Chytrej2-Mini
Model Size	20.2m
Required VRAM	0 GB
Updated	2026-08-07
Maintainer	pvlabs
Model Type	llama
Model Files	0.0 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|padding\|>
Vocabulary Size	32000

Rank the Chytrej2 Mini It 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 Chytrej2 Mini It

Best Alternatives	Context / RAM	Downloads	Likes
Chytrej2 Mini	1K / 0 GB	8	0