What are the hardware requirements for TinyLlama3 EmptyModel?

TinyLlama3 EmptyModel requires approximately 6 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed TinyLlama3 EmptyModel and how large is it?

TinyLlama3 EmptyModel is developed by Deathsquad10, a model with 1.5b 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 TinyLlama3 EmptyModel?

TinyLlama3 EmptyModel is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TinyLlama3 EmptyModel by Deathsquad10 — VRAM 6GB, 32K context

Name: TinyLlama3 EmptyModel
Author: Deathsquad10

TinyLlama3 EmptyModel is an open-source language model by Deathsquad10. Features: 1.5b LLM, VRAM: 6GB, Context: 32K, LLM Explorer Score: 0.13.

Arxiv:1910.09700 Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Deathsquad10/TinyLlama3-EmptyModel

TinyLlama3 EmptyModel Parameters and Internals

LLM Name	TinyLlama3 EmptyModel
Repository 🤗	https://huggingface.co/Deathsquad10/TinyLlama3-EmptyModel
Model Size	1.5b
Required VRAM	6 GB
Updated	2026-08-25
Maintainer	Deathsquad10
Model Type	llama
Model Files	6.0 GB
Model Architecture	LlamaForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.39.3
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float32

Rank the TinyLlama3 EmptyModel 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

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CursorCore Yi 1.5B SR	128K / 3 GB	9	0
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Yi Coder 1.5B	128K / 3 GB	244	25
TinyLlaMa3 DifferentTest	32K / 6 GB	7	0
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OpenCoder 1.5B Base	4K / 3.8 GB	405	25

Note: green Score (e.g. "73.2") means that the model is better than Deathsquad10/TinyLlama3-EmptyModel.