What are the hardware requirements for TinyLLM 0.51B SFT?

TinyLLM 0.51B SFT requires approximately 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 TinyLLM 0.51B SFT and how large is it?

TinyLLM 0.51B SFT is developed by chris0809, a model with 0.51b 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 TinyLLM 0.51B SFT?

TinyLLM 0.51B SFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TinyLLM 0.51B SFT by chris0809 — VRAM 2GB, 8K context

Name: TinyLLM 0.51B SFT
Author: chris0809

TinyLLM 0.51B SFT is an open-source language model by chris0809. Features: 0.51b LLM, VRAM: 2GB, Context: 8K, License: other, LLM Explorer Score: 0.3.

Conversational Custom code En Region:us Safetensors Tinyllm Zh

Model Card on HF 🤗: https://huggingface.co/chris0809/tinyLLM-0.51B-SFT

TinyLLM 0.51B SFT Parameters and Internals

LLM Name	TinyLLM 0.51B SFT
Repository 🤗	https://huggingface.co/chris0809/tinyLLM-0.51B-SFT
Model Size	0.51b
Required VRAM	2 GB
Updated	2026-09-11
Maintainer	chris0809
Model Files	2.0 GB
Supported Languages	zh en
Model Architecture	TinyLLM
License	other
Context Length	8192
Model Max Length	8192
Padding Token	<\|im_end\|>
Vocabulary Size	73448

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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