MistralLite 7B GGUF by TheBloke

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  Base model:amazon/mistrallite Base model:quantized:amazon/mi...   Gguf   Mistral   Quantized   Region:us

MistralLite 7B GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MistralLite 7B GGUF (TheBloke/MistralLite-7B-GGUF)

MistralLite 7B GGUF Parameters and Internals

Model Type 
mistral
Use Cases 
Areas:
Long context line and topic retrieval, Summarization, Question-answering
Additional Notes 
The usage of MistralLite in prolonged processing scenarios benefits from optimizations such as infrastructure enhancements on AWS.
Supported Languages 
English ()
Training Details 
Data Sources:
SLidingEncoder and Decoder (SLED), (Long) Natural Questions (NQ), OpenAssistant Conversations Dataset (OASST1)
Methodology:
Use of adapted Rotary Embedding and sliding window during fine-tuning
Context Length:
32000
Model Architecture:
Fine-tuned Mistral 7B model with enhanced capabilities for long context processing
Input Output 
Input Format:
<|prompter|>{prompt}~~<|assistant|>
Accepted Modalities:
text
Output Format:
Generated text based on input prompt
LLM NameMistralLite 7B GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/MistralLite-7B-GGUF 
Model NameMistralLite 7B
Model CreatorAmazon Web Services
Base Model(s)  MistralLite   amazon/MistralLite
Model Size7b
Required VRAM3.1 GB
Updated2025-06-02
MaintainerTheBloke
Model Typemistral
Model Files  3.1 GB   3.8 GB   3.5 GB   3.2 GB   4.1 GB   4.4 GB   4.1 GB   5.0 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/MistralLite-7B-GGUF.

Rank the MistralLite 7B GGUF Capabilities

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227