LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Lite Mistral 150M V2 Instruct by OuteAI

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

  57   
  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: 0.18879
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
🌟 Advertise your project 🚀

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
Updated2025-06-11
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
Lite Mistral 150M V2 Instruct (OuteAI/Lite-Mistral-150M-v2-Instruct)

Best Alternatives to Lite Mistral 150M V2 Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Mistral 150M Instruct32K / 0.7 GB210
Sigmer 150M2K / 0.3 GB351
BabyHercules 150M2K / 0.3 GB240
Note: green Score (e.g. "73.2") means that the model is better than OuteAI/Lite-Mistral-150M-v2-Instruct.

Rank the Lite Mistral 150M V2 Instruct 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  

What open-source LLMs or SLMs are you in search of? 48079 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
  Support LLM Explorer