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LocutusqueXFelladrin TinyMistral248M Instruct by Locutusque

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LocutusqueXFelladrin TinyMistral248M Instruct is an open-source language model by Locutusque. Features: 248m LLM, VRAM: 0.5GB, Context: 32K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.17, Arc: 24.7, HellaSwag: 27.8, MMLU: 26.1.

  Merged Model Dataset:locutusque/inst mix v2...   En   Endpoints compatible   Instruct   Mistral   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Locutusque/LocutusqueXFelladrin-TinyMistral248M-Instruct 

LocutusqueXFelladrin TinyMistral248M Instruct Benchmarks

ARC: 24.74 vs 96.7 (so35)-74.4%
HellaSwag: 27.79 vs 95.3 (gpt4)-70.8%
MMLU: 26.12 vs 88.3 (so35)-70.4%
LLME Score: 0.17187
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LocutusqueXFelladrin TinyMistral248M Instruct (Locutusque/LocutusqueXFelladrin-TinyMistral248M-Instruct)
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LocutusqueXFelladrin TinyMistral248M Instruct Parameters and Internals

Model Type 
text generation
Additional Notes 
This model was created by merging Locutusque/TinyMistral-248M-Instruct and Felladrin/TinyMistral-248M-SFT-v4 using mergekit. After the two models were merged, the resulting model was further trained on ~20,000 examples on the Locutusque/inst_mix_v2_top_100k at a low learning rate to further normalize weights. The resulting model combines the best of both worlds: Locutusque/TinyMistral-248M-Instruct's coding capabilities and reasoning skills, and Felladrin/TinyMistral-248M-SFT-v4's low hallucination and instruction-following capabilities. The resulting model has an incredible performance considering its size.
LLM NameLocutusqueXFelladrin TinyMistral248M Instruct
Repository 🤗https://huggingface.co/Locutusque/LocutusqueXFelladrin-TinyMistral248M-Instruct 
Merged ModelYes
Model Size248m
Required VRAM0.5 GB
Updated2026-05-02
MaintainerLocutusque
Model Typemistral
Instruction-BasedYes
Model Files  0.5 GB   0.5 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32005
Torch Data Typefloat16

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Rank the LocutusqueXFelladrin TinyMistral248M 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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