What are the hardware requirements for MistralLite AWQ?

MistralLite AWQ requires approximately 4.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MistralLite AWQ and how large is it?

MistralLite AWQ is developed by AWS, a model with 7.2b 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 MistralLite AWQ?

MistralLite AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MistralLite AWQ by AWS — VRAM 4.2GB, 32K context

Name: MistralLite AWQ
Author: AWS

MistralLite AWQ is an open-source language model by AWS. Features: 7.2b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

Arxiv:2306.00978 4-bit Awq Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/amazon/MistralLite-AWQ

MistralLite AWQ Parameters and Internals

Model Type

Quantized Model

LLM Name	MistralLite AWQ
Repository 🤗	https://huggingface.co/amazon/MistralLite-AWQ
Model Size	7.2b
Required VRAM	4.2 GB
Updated	2026-10-09
Maintainer	AWS
Model Type	mistral
Model Files	4.2 GB
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.40.2
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
Vocabulary Size	32003
Torch Data Type	float16

Rank the MistralLite 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 MistralLite AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Feedback Wizard 4bit AWQ	32K / 4.2 GB	6	0
Ryze AWQ 4bit	32K / 4.2 GB	5	0
...V3 Plot Chat Roleplay Chat AWQ	32K / 4.2 GB	7	0
...lot Engine Step Json Short AWQ	32K / 4.2 GB	5	0
LemonadeRP 4.5.3 AWQ	32K / 4.2 GB	5	0
Functionary Small V2.4 AWQ	32K / 4.2 GB	1	1
Hc Mistral Alpaca Merged AWQ	32K / 4.2 GB	5	0
Garrulus AWQ	32K / 4.2 GB	7	2
Phoenix AWQ	32K / 4.2 GB	28	1
HamSter 0.1 AWQ	32K / 4.2 GB	5	2

Note: green Score (e.g. "73.2") means that the model is better than amazon/MistralLite-AWQ.