What are the hardware requirements for Tinyllama Chat Bnb 4bit?

Tinyllama Chat 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 Chat Bnb 4bit and how large is it?

Tinyllama Chat 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 Chat Bnb 4bit?

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

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

Name: Tinyllama Chat Bnb 4bit
Author: unsloth

Tinyllama Chat 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: 0.12.

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

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

Tinyllama Chat Bnb 4bit Parameters and Internals

Model Type

text generation, fine-tuning

Input Output

Performance Tips:

All notebooks are beginner friendly. Add your dataset, click 'Run All', and obtain a 2x faster finetuned model.

LLM Name	Tinyllama Chat Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/tinyllama-chat-bnb-4bit
Model Size	1.1b
Required VRAM	0.8 GB
Updated	2026-08-04
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 Chat 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 Chat Bnb 4bit

Model	Downloads	VRAM
Tinyllama Coder Py V13	203	0 GB
Tinyllama Coder Py V12	184	0 GB
Tinyllama Coder Py 4bit V3	32	1 GB
Tinyllama Coder Py V14	5	2 GB
Tinyllama Coder Py 4bit V4	17	1 GB
Tinyllama Coder Py 4bit V10	65	0 GB
TinyLlama QuantumQuill Chat	5	2 GB
...a QuantumQuill Chat 08 05 24 2	7	2 GB
...ama 1.1B Chat V1.0 Finetuned 4	5	0 GB
...icipal Prediction Merged Model	6	2 GB

Best Alternatives to Tinyllama Chat 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

Note: green Score (e.g. "73.2") means that the model is better than unsloth/tinyllama-chat-bnb-4bit.