What are the hardware requirements for Chytrej2 Mini?

Chytrej2 Mini 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 and how large is it?

Chytrej2 Mini 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?

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

Chytrej2 Mini by pvlabs — 1K context

Name: Chytrej2 Mini
Author: pvlabs

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

Base Chytrej Dataset:huggingfacefw/fineweb-... En Endpoints compatible Llama Pretrained Region:us Safetensors Tiny

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

Chytrej2 Mini Parameters and Internals

LLM Name	Chytrej2 Mini
Repository 🤗	https://huggingface.co/pvlabs/Chytrej2-Mini
Model Size	20.2m
Required VRAM	0 GB
Updated	2026-07-11
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 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives	Context / RAM	Downloads	Likes
Chytrej2 Mini It	1K / 0 GB	19	2

Note: green Score (e.g. "73.2") means that the model is better than pvlabs/Chytrej2-Mini.