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Lite Mistral 150M V2 Instruct by OuteAI

 »  All LLMs  »  OuteAI  »  Lite Mistral 150M V2 Instruct   URL Share it on

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/OuteAI/Lite-Mistral-150M-v2-Instruct 

Lite Mistral 150M V2 Instruct Benchmarks

LLME Score: 0.21988
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lite Mistral 150M V2 Instruct (OuteAI/Lite-Mistral-150M-v2-Instruct)

Lite Mistral 150M V2 Instruct Parameters and Internals

Use Cases 
Limitations:
Struggles with complex or nuanced situations resulting in risk of inconsistent or inaccurate responses.
Considerations:
Model is sensitive to the chat template used.
Additional Notes 
Model is designed to operate on a wide range of devices maintaining functionality and coherence for its compact size.
Training Details 
Data Volume:
~8 billion tokens
Methodology:
Extended Training with tokenizer changes
Model Architecture:
Mistral architecture
Input Output 
Input Format:
Chat format with specific template using roles system, user, and assistant.
Performance Tips:
Ensure correct chat template is used for optimal performance.
LLM NameLite Mistral 150M V2 Instruct
Repository 🤗https://huggingface.co/OuteAI/Lite-Mistral-150M-v2-Instruct 
Model Size150m
Required VRAM0.6 GB
Updated2025-02-22
MaintainerOuteAI
Model Typemistral
Instruction-BasedYes
Model Files  0.6 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat32

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Rank the Lite Mistral 150M V2 Instruct 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
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