What are the hardware requirements for TinyLlama 1.1B Chat V1.0 AWQ?

TinyLlama 1.1B Chat V1.0 AWQ 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 1.1B Chat V1.0 AWQ and how large is it?

TinyLlama 1.1B Chat V1.0 AWQ is developed by TheBloke, 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 V1.0 AWQ?

TinyLlama 1.1B Chat V1.0 AWQ 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 V1.0 AWQ by TheBloke — VRAM 0.8GB, 2K context

Name: TinyLlama 1.1B Chat V1.0 AWQ
Author: TheBloke

TinyLlama 1.1B Chat V1.0 AWQ is an open-source language model by TheBloke. Features: 1.1b LLM, VRAM: 0.8GB, Context: 2K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

4-bit Awq Base model:quantized:tinyllama... Base model:tinyllama/tinyllama... Conversational Dataset:bigcode/starcoderdata Dataset:cerebras/slimpajama-62... Dataset:openassistant/oasst to... En Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/TinyLlama-1.1B-Chat-v1.0-AWQ

TinyLlama 1.1B Chat V1.0 AWQ Parameters and Internals

Model Type

tinyllama

Additional Notes

This model can be used in open-source projects built upon the Llama architecture. It employs techniques like AWQ for efficient and fast inference.

Training Details

Data Sources:

cerebras/SlimPajama-627B, bigcode/starcoderdata, OpenAssistant/oasst_top1_2023-08-25

Methodology:

finetuned using HF's Zephyr's training recipe and aligned with TRL's DPOTrainer

Hardware Used:

16 A100-40G GPUs

Model Architecture:

Llama 2

LLM Name	TinyLlama 1.1B Chat V1.0 AWQ
Repository 🤗	https://huggingface.co/TheBloke/TinyLlama-1.1B-Chat-v1.0-AWQ
Model Name	Tinyllama 1.1B Chat v1.0
Model Creator	TinyLlama
Base Model(s)	TinyLlama/TinyLlama-1.1B-Chat-v1.0 TinyLlama/TinyLlama-1.1B-Chat-v1.0
Model Size	1.1b
Required VRAM	0.8 GB
Updated	2026-06-01
Maintainer	TheBloke
Model Type	tinyllama
Model Files	0.8 GB
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.37.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the TinyLlama 1.1B Chat V1.0 AWQ 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

Best Alternatives to TinyLlama 1.1B Chat V1.0 AWQ

Best Alternatives	Context / RAM	Downloads	Likes
TinyLlama 1.1B Chat V1.0 AWQ	2K / 0.8 GB	5	0
TinyLlama 1.1B Chat V0.3 AWQ	2K / 0.8 GB	143144	5
Tinyllama56k AWQ	2K / 0.8 GB	6	0
Tinyllama1b 12k AWQ	2K / 0.8 GB	5	0
Tinyllama AWQ Marlin	2K / 0.8 GB	4	1
...ntermediate Step 715K 1.5T AWQ	2K / 0.8 GB	6	2
TinyLlama 1.1B Chat V0.3 AWQ	2K / 0.8 GB	26	1
...ma 1.1B Chat V0.3 Platypus AWQ	2K / 0.8 GB	11	3
... Intermediate Step 480K 1T AWQ	2K / 0.8 GB	12	2
TinyLlama 1.1B Python V0.1 AWQ	2K / 0.8 GB	8	2

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/TinyLlama-1.1B-Chat-v1.0-AWQ.