What are the hardware requirements for TinyLlama 1.1B Chat V0.3 GGUF?

TinyLlama 1.1B Chat V0.3 GGUF requires approximately 0.7 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed TinyLlama 1.1B Chat V0.3 GGUF and how large is it?

TinyLlama 1.1B Chat V0.3 GGUF is developed by YashRawal225, a model with 1.1b 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 TinyLlama 1.1B Chat V0.3 GGUF?

TinyLlama 1.1B Chat V0.3 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TinyLlama 1.1B Chat V0.3 GGUF by YashRawal225 — VRAM 0.7GB, 2K context

Name: TinyLlama 1.1B Chat V0.3 GGUF
Author: YashRawal225

TinyLlama 1.1B Chat V0.3 GGUF is an open-source language model by YashRawal225. Features: 1.1b LLM, VRAM: 0.7GB, Context: 2K, License: unknown, Quantized, LLM Explorer Score: 0.1.

Endpoints compatible Ggml Gguf Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/YashRawal225/TinyLlama-1.1B-Chat-v0.3-GGUF

TinyLlama 1.1B Chat V0.3 GGUF Parameters and Internals

LLM Name	TinyLlama 1.1B Chat V0.3 GGUF
Repository 🤗	https://huggingface.co/YashRawal225/TinyLlama-1.1B-Chat-v0.3-GGUF
Base Model(s)	Tiny Llama Qlora AayushShah/tiny_llama-qlora
Model Size	1.1b
Required VRAM	0.7 GB
Updated	2026-08-03
Maintainer	YashRawal225
Model Type	llama
Model Files	0.7 GB 0.0 GB
GGML Quantization	Yes
GGUF Quantization	Yes
Quantization Type	gguf\|ggml
Model Architecture	LlamaForCausalLM
License	unknown
Context Length	2048
Model Max Length	2048
Transformers Version	4.37.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
Vocabulary Size	32003
Torch Data Type	bfloat16

Rank the TinyLlama 1.1B Chat V0.3 GGUF 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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Note: green Score (e.g. "73.2") means that the model is better than YashRawal225/TinyLlama-1.1B-Chat-v0.3-GGUF.