TinyMistral V2 Test1 by Dans-DiscountModels

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TinyMistral V2 Test1 is an open-source language model by Dans-DiscountModels. Features: 248m LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.16, Arc: 21.5, HellaSwag: 26.8, MMLU: 23.4.

  Autotrain compatible Base model:finetune:locutusque... Base model:locutusque/tinymist...   Dataset:epfl-llm/guidelines   Dataset:jeankaddour/minipile   En   Endpoints compatible   Generated from trainer   Mistral   Pytorch   Region:us

TinyMistral V2 Test1 Benchmarks

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

TinyMistral V2 Test1 Parameters and Internals

Model Type 
MistralForCausalLM
Supported Languages 
en (unknown)
Training Details 
Data Sources:
JeanKaddour/minipile, epfl-llm/guidelines
Context Length:
2048
LLM NameTinyMistral V2 Test1
Repository 🤗https://huggingface.co/Dans-DiscountModels/TinyMistral-v2-Test1 
Base Model(s)  TinyMistral 248M V2   Locutusque/TinyMistral-248M-v2
Model Size248m
Required VRAM1 GB
Updated2024-12-02
MaintainerDans-DiscountModels
Model Typemistral
Model Files  1.0 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32005
Torch Data Typefloat32

Best Alternatives to TinyMistral V2 Test1

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Context / RAM
Downloads
Likes
TinyMistral 248M V2.532K / 1 GB20527
...adrin TinyMistral248M Instruct32K / 0.5 GB21277
TinyMistral 248M V232K / 1 GB109617
TinyMistral 248M V2.5 Instruct32K / 1 GB211
...al V2.5 MiniPile Guidelines E132K / 0.6 GB82
TinyMistral 248M Instruct32K / 1 GB85112
TinyMistral 248M 8bits32K / 0.3 GB351
Tinymistv132K / 0.5 GB170
TinyMistral Haiku32K / 1 GB100
...istral 248M V2.5 Instruct Orpo32K / 0.5 GB80
Note: green Score (e.g. "73.2") means that the model is better than Dans-DiscountModels/TinyMistral-v2-Test1.

Rank the TinyMistral V2 Test1 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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Release v20260328a