What are the hardware requirements for Tinyllama 1.1B Chat V0.3 Platypus AWQ?

Tinyllama 1.1B Chat V0.3 Platypus 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 V0.3 Platypus AWQ and how large is it?

Tinyllama 1.1B Chat V0.3 Platypus 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 V0.3 Platypus AWQ?

Tinyllama 1.1B Chat V0.3 Platypus 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 V0.3 Platypus AWQ by TheBloke — VRAM 0.8GB, 2K context

Name: Tinyllama 1.1B Chat V0.3 Platypus AWQ
Author: TheBloke

Tinyllama 1.1B Chat V0.3 Platypus AWQ is an open-source language model by TheBloke. Features: 1.1b LLM, VRAM: 0.8GB, Context: 2K, License: other, Quantized, LLM Explorer Score: 0.09.

4-bit Awq Base model:lgaalves/tinyllama-... Base model:quantized:lgaalves/... Dataset:garage-baind/open-plat... En Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/tinyllama-1.1b-chat-v0.3_platypus-AWQ

Tinyllama 1.1B Chat V0.3 Platypus AWQ Parameters and Internals

Model Type

llama, text-generation

Use Cases

Primary Use Cases:

text generation, fine-tune to downstream tasks

Limitations:

may produce false information, contains unfiltered internet content, which may not be neutral

Additional Notes

AWQ is an efficient low-bit weight quantization method supporting 4-bit quantization. It enables smaller GPU deployment while maintaining performance.

Supported Languages

en (high)

Training Details

Data Sources:

garage-bAInd/Open-Platypus

Methodology:

instruction fine-tuned using LoRA

Training Time:

43 minutes

Hardware Used:

1 V100 GPU on Google Colab

Model Architecture:

tinyllama transformer architecture

Input Output

Input Format:

Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:

Accepted Modalities:

text

Output Format:

text

Performance Tips:

Using AWQ enables using smaller GPUs for deployment and cost savings

LLM Name	Tinyllama 1.1B Chat V0.3 Platypus AWQ
Repository 🤗	https://huggingface.co/TheBloke/tinyllama-1.1b-chat-v0.3_platypus-AWQ
Model Name	Tinyllama 1.1B Chat v0.3 Platypus
Model Creator	Luiz G. A. Alves
Base Model(s)	lgaalves/tinyllama-1.1b-chat-v0.3_platypus lgaalves/tinyllama-1.1b-chat-v0.3_platypus
Model Size	1.1b
Required VRAM	0.8 GB
Updated	2026-07-04
Maintainer	TheBloke
Model Type	llama
Model Files	0.8 GB
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.34.0
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
Vocabulary Size	32003
Torch Data Type	float16

Rank the Tinyllama 1.1B Chat V0.3 Platypus 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 V0.3 Platypus 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
TinyLlama 1.1B Chat V1.0 AWQ	2K / 0.8 GB	8494	6
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
... 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-v0.3_platypus-AWQ.