TinyMistral 248M V2.5 by Locutusque

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  Merged Model   Autotrain compatible   Code   Computer science Dataset:open-phi/programming b...   Dataset:open-phi/textbooks   En   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors

TinyMistral 248M V2.5 Benchmarks

TinyMistral 248M V2.5 (Locutusque/TinyMistral-248M-v2.5)

TinyMistral 248M V2.5 Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model fixes exploding gradient issues present in v2, making it easier to fine-tune.
Training Details 
Data Sources:
open-phi/programming_books_llama, open-phi/textbooks
Methodology:
The model was created by merging TinyMistral-248M-v1 and v2, then further pretraining on synthetic textbooks.
Input Output 
Performance Tips:
The model's performance seems to degrade in the inference API. It's recommended to try the model by installing it directly.
LLM NameTinyMistral 248M V2.5
Repository ๐Ÿค—https://huggingface.co/Locutusque/TinyMistral-248M-v2.5 
Merged ModelYes
Model Size248m
Required VRAM1 GB
Updated2024-12-22
MaintainerLocutusque
Model Typemistral
Model Files  1.0 GB
Supported Languagesen code
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32005
Torch Data Typefloat16

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Rank the TinyMistral 248M V2.5 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 v20241217