MistralLite by AWS

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MistralLite is an open-source language model by AWS. Features: LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.17.

  Autotrain compatible   Mistral   Pytorch   Region:us   Sharded

MistralLite Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MistralLite Parameters and Internals

LLM NameMistralLite
Repository 🤗https://huggingface.co/AWS/MistralLite 
Required VRAM14.4 GB
Updated2025-04-09
MaintainerAWS
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32003
Torch Data Typebfloat16

Best Alternatives to MistralLite

Best Alternatives
Context / RAM
Downloads
Likes
Krutrim 2 Instruct1000K / 49.3 GB25836
Ft V1 Violet1000K / 24.5 GB50
Mistral Large Instruct 2407128K / 226.7 GB7270860
Tiny Random MistralForCausalLM128K / 0 GB9051
Winterreise M732K / 14.4 GB00
Frostwind V2.1 M732K / 14.4 GB00
K2S3 V0.132K / 28.7 GB70
MistralLite32K / 14.4 GB10607434
...ydaz Web AI Reasoner BaseModel32K / 14.4 GB01
...2S3 Mistral 7bx2 48layers V1.232K / 21.7 GB1030
Note: green Score (e.g. "73.2") means that the model is better than AWS/MistralLite.

Rank the MistralLite Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

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Release v20260328a