What are the hardware requirements for MistralLite?

MistralLite requires approximately 14.4 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 and how large is it?

MistralLite is developed by AWS. 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?

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

MistralLite by AWS — VRAM 14.4GB, 32K context

Name: MistralLite
Author: AWS

MistralLite is an open-source language model by AWS. Features: LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.16.

Autotrain compatible Mistral Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/AWS/MistralLite

MistralLite Parameters and Internals

LLM Name	MistralLite
Repository 🤗	https://huggingface.co/AWS/MistralLite
Required VRAM	14.4 GB
Updated	2025-04-09
Maintainer	AWS
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.0
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
Vocabulary Size	32003
Torch Data Type	bfloat16

Rank the MistralLite 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

Best Alternatives	Context / RAM	Downloads	Likes
Krutrim 2 Instruct	1000K / 49.3 GB	866	38
Ft V1 Violet	1000K / 24.5 GB	5	0
Tiny Random MistralForCausalLM	128K / 0 GB	154	1
Winterreise M7	32K / 14.4 GB	0	0
Frostwind V2.1 M7	32K / 14.4 GB	0	0
...ydaz Web AI Reasoner BaseModel	32K / 14.4 GB	0	1
MistralLite	32K / 14.4 GB	2373	437
Mixtral AI Cyber Child	32K / 14.5 GB	14	1
Kheops Textbook Immo2	32K / 14.5 GB	11	0
Snorkel Mistral PairRM DPO	32K / 14.4 GB	76	108

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