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MistralLite 7B AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  MistralLite 7B AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq   Base model:amazon/mistrallite Base model:quantized:amazon/mi...   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/MistralLite-7B-AWQ 

MistralLite 7B AWQ Benchmarks

LLME Score: 0.12675
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MistralLite 7B AWQ (TheBloke/MistralLite-7B-AWQ)

MistralLite 7B AWQ Parameters and Internals

Model Type 
mistral
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
Long context line and topic retrieval, Summarization, Question-answering
Limitations:
Performance with context > 12K tokens may require custom deployment.
Considerations:
Context length over 12K may necessitate custom deployment.
Additional Notes 
Model managed to significantly boost the performance of long context handling over Mistral-7B-Instruct-v0.1.
Supported Languages 
English (proficient)
Training Details 
Data Sources:
SLidingEncoder and Decoder (SLED), (Long) Natural Questions (NQ), OpenAssistant Conversations Dataset (OASST1)
Methodology:
Finetuned
Context Length:
32768
Model Architecture:
Adapted Rotary Embedding
Responsible Ai Considerations 
Transparency:
Users are responsible for ensuring transparency and accountability.
Accountability:
Accountability lies with users for adhering to local guidelines and regulations.
Input Output 
Input Format:
<|prompter|>{prompt}~~<|assistant|>
Accepted Modalities:
text
Performance Tips:
Performance can be optimized in resource-constrained environments.
Release Notes 
Version:
MistralLite 7B - AWQ
Notes:
Efficient low-bit weight quantization for faster inference with equivalent or better quality.
LLM NameMistralLite 7B AWQ
Repository 🤗https://huggingface.co/TheBloke/MistralLite-7B-AWQ 
Model NameMistralLite 7B
Model CreatorAmazon Web Services
Base Model(s)  MistralLite   amazon/MistralLite
Model Size7b
Required VRAM4.2 GB
Updated2025-06-02
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32003
Torch Data Typefloat16

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Breeze 7B Instruct V1.0 AWQ32K / 4.6 GB560
...Instruct V0.2 AWQ 4bit Smashed32K / 4.2 GB2291
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...reeze 7B 32K Instruct V1.0 AWQ32K / 4.7 GB90
Mahou 1.3a Mistral 7B AWQ32K / 4.2 GB101
Mahou 1.3 Mistral 7B AWQ32K / 4.2 GB150
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/MistralLite-7B-AWQ.

Rank the MistralLite 7B AWQ 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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