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Bielik PL Minitron 7B V3.0 Instruct by speakleash

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Bielik PL Minitron 7B V3.0 Instruct is an open-source language model by speakleash. Features: 11b LLM, VRAM: 15GB, License: proprietary, Instruction-Based, LLM Explorer Score: 0.26.

  Arxiv:2402.03300   Arxiv:2402.13228   Arxiv:2409.19256   Arxiv:2503.20783   Arxiv:2601.11579   Arxiv:2603.11881   Arxiv:2604.10799 Base model:finetune:speakleash... Base model:speakleash/bielik-1...   Conversational   En   Endpoints compatible   Instruct   Llama   Multilingual   Pl   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/speakleash/Bielik-PL-Minitron-7B-v3.0-Instruct 

Bielik PL Minitron 7B V3.0 Instruct Benchmarks

LLME Score: 0.26424
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bielik PL Minitron 7B V3.0 Instruct (speakleash/Bielik-PL-Minitron-7B-v3.0-Instruct)
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Bielik PL Minitron 7B V3.0 Instruct Parameters and Internals

LLM NameBielik PL Minitron 7B V3.0 Instruct
Repository 🤗https://huggingface.co/speakleash/Bielik-PL-Minitron-7B-v3.0-Instruct 
Base Model(s)  speakleash/Bielik-11B-v3-Base-20250730   speakleash/Bielik-11B-v3-Base-20250730
Model Size11b
Required VRAM15 GB
Updated2026-06-05
Maintainerspeakleash
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   5.0 GB: 3-of-3
Supported Languagespl en
Gated ModelYes
Model ArchitectureAutoModelForCausalLM
Licenseproprietary

Best Alternatives to Bielik PL Minitron 7B V3.0 Instruct

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Bielik PL 11B V3.0 Instruct0K / 22.4 GB19849
Bielik 11B V2.3 Instruct0K / 22.3 GB1066952
Bielik 11B V2.2 Instruct0K / 22.3 GB52763
Bielik 11B V2.1 Instruct0K / 22.3 GB623
Bielik 11B V2.6 Instruct0K / 22.4 GB198343
Bielik 11B V2.0 Instruct0K / 22.3 GB345
Bielik 11B V2.5 Instruct0K / 22.3 GB139
Note: green Score (e.g. "73.2") means that the model is better than speakleash/Bielik-PL-Minitron-7B-v3.0-Instruct.

Rank the Bielik PL Minitron 7B V3.0 Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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