What are the hardware requirements for Tinyllama Bnb 4bit?

Tinyllama Bnb 4bit requires approximately 0.8 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 Bnb 4bit and how large is it?

Tinyllama Bnb 4bit is developed by unsloth, 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 Bnb 4bit?

Tinyllama Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tinyllama Bnb 4bit by unsloth — VRAM 0.8GB, 2K context

Name: Tinyllama Bnb 4bit
Author: unsloth

Tinyllama Bnb 4bit is an open-source language model by unsloth. Features: 1.1b LLM, VRAM: 0.8GB, Context: 2K, License: apache-2.0, Quantized, LLM Explorer Score: 0.17.

4-bit 4bit Bitsandbytes En Endpoints compatible Llama Quantized Region:us Safetensors Tinyllama Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/tinyllama-bnb-4bit

Tinyllama Bnb 4bit Parameters and Internals

Model Type

Finetuning Model, Quantized 4bit Model

Use Cases

Areas:

Research, Commercial Applications

Primary Use Cases:

Finetuning Models, Model Optimization

Additional Notes

All notebooks are beginner-friendly and exportable to GGUF, vLLM or uploadable to Hugging Face.

LLM Name	Tinyllama Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/tinyllama-bnb-4bit
Model Size	1.1b
Required VRAM	0.8 GB
Updated	2026-07-30
Maintainer	unsloth
Model Type	llama
Model Files	0.8 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.44.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Tinyllama Bnb 4bit 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

Quantized Models of the Tinyllama Bnb 4bit

Model	Downloads	VRAM
Smolphin Test1	0	2 GB
QuantumQuill	5	2 GB
Cisco INAM 1.1B	47	0 GB
Tinyllama Wame 4bit Curi	9	2 GB
Tinyllama Wame 4bit Curi2	6	2 GB
Tinyllama Gguf 16B	17	2 GB
Tinyllama Gguf 8B	16	1 GB
Tinyllama Singlish	6	2 GB
Tinyllama Gguf Q5	13	0 GB
Tinyllama Gguf Q4	12	0 GB

Best Alternatives to Tinyllama Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...E TinyLlama 1.1B 32K Base 4bit	32K / 0.6 GB	17	1
...E TinyLlama 1.1B 32K Base 8bit	32K / 1.2 GB	17	1
...1B 32K Instruct 8.0bpw H8 EXL2	32K / 1.2 GB	6	1
...1B 32K Instruct 3.0bpw H6 EXL2	32K / 0.5 GB	6	0
Athena TinyLlama V0.1	16K / 2.2 GB	14	0
...lama PY CODER 4bit Lora 4k V12	4K / 2.2 GB	8	0
Tinyllama Coder Py V14	4K / 2.2 GB	5	0
...icipal Prediction Merged Model	4K / 2.2 GB	6	0
TiamaPY V27	4K / 2.2 GB	7	0
TiamaPY 1.1B V24	4K / 2.2 GB	7	0