TinyMistral 248M V2 by Locutusque

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TinyMistral 248M V2 is an open-source language model by Locutusque. Features: 248m LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.17, Arc: 21.3, HellaSwag: 26.6, MMLU: 23.4.

  Dataset:locutusque/tm-data   Dataset:skylion007/openwebtext   En   Endpoints compatible   Mistral   Pytorch   Region:us   Safetensors

TinyMistral 248M V2 Benchmarks

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

TinyMistral 248M V2 Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (full)
Training Details 
Data Sources:
Skylion007/openwebtext, Locutusque/TM-DATA
Training Time:
500 GPU hours
Hardware Used:
single Titan V
LLM NameTinyMistral 248M V2
Repository 🤗https://huggingface.co/Locutusque/TinyMistral-248M-v2 
Model Size248m
Required VRAM1 GB
Updated2026-05-01
MaintainerLocutusque
Model Typemistral
Model Files  1.0 GB   1.0 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32005
Torch Data Typefloat32

Best Alternatives to TinyMistral 248M V2

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Context / RAM
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TinyMistral 248M V2.532K / 1 GB20527
...adrin TinyMistral248M Instruct32K / 0.5 GB21277
TinyMistral 248M V2.5 Instruct32K / 1 GB211
...al V2.5 MiniPile Guidelines E132K / 0.6 GB82
TinyMistral 248M Instruct32K / 1 GB85112
TinyMistral V2 Test132K / 1 GB181
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 Locutusque/TinyMistral-248M-v2.

Rank the TinyMistral 248M V2 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