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MSH V1 Bielik V2.3 Instruct MedIT Merge by meditsolutions

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MSH V1 Bielik V2.3 Instruct MedIT Merge is an open-source language model by meditsolutions. Features: 11b LLM, VRAM: 22.3GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

Base model:finetune:speakleash... Base model:speakleash/bielik-1...   Conversational   En   Instruct   Medit-merge   Mistral   Pl   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/meditsolutions/MSH-v1-Bielik-v2.3-Instruct-MedIT-merge 

MSH V1 Bielik V2.3 Instruct MedIT Merge Benchmarks

MMLU Pro: 27.78
GPQA: 12.75
MUSR: 13.84
BBH: 38.02
IFEval: 58.14 vs 88 (so35)-33.9%
MATH Lvl 5: 20.77
LLME Score: 0.24373
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MSH V1 Bielik V2.3 Instruct MedIT Merge (meditsolutions/MSH-v1-Bielik-v2.3-Instruct-MedIT-merge)
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MSH V1 Bielik V2.3 Instruct MedIT Merge Parameters and Internals

LLM NameMSH V1 Bielik V2.3 Instruct MedIT Merge
Repository 🤗https://huggingface.co/meditsolutions/MSH-v1-Bielik-v2.3-Instruct-MedIT-merge 
Base Model(s)  speakleash/Bielik-11B-v2.3-Instruct   speakleash/Bielik-11B-v2.3-Instruct
Model Size11b
Required VRAM22.3 GB
Updated2025-10-02
Maintainermeditsolutions
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   2.6 GB: 5-of-5
Supported Languagespl en
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32128
Torch Data Typebfloat16

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Rank the MSH V1 Bielik V2.3 Instruct MedIT Merge 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  
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Multi-Language Support and Translation  

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