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Zephyr Python Ru Merged by MexIvanov

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Zephyr Python Ru Merged is an open-source language model by MexIvanov. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: mit, HF Score: 60.1, LLM Explorer Score: 0.13, Arc: 56.1, HellaSwag: 82.1, MMLU: 60.2, TruthfulQA: 52.8, WinoGrande: 77, GSM8K: 32.5.

  Arxiv:2409.09353 Base model:finetune:huggingfac... Base model:huggingfaceh4/zephy...   Conversational Dataset:mexivanov/codeexercise... Dataset:mexivanov/vezora-teste... Dataset:zelkame/ru-stackoverfl...   En   Endpoints compatible   Mistral   Region:us   Ru   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MexIvanov/zephyr-python-ru-merged 

Zephyr Python Ru Merged Benchmarks

ARC: 56.06 vs 96.7 (so35)-42%
HellaSwag: 82.06 vs 95.3 (gpt4)-13.9%
MMLU: 60.2 vs 88.3 (so35)-31.8%
TruthfulQA: 52.81 vs 59 (gpt4)-10.5%
WinoGrande: 76.95 vs 87.5 (gpt4)-12.1%
GSM8K: 32.52 vs 96.4 (so35)-66.3%
LLME Score: 0.13156
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr Python Ru Merged (MexIvanov/zephyr-python-ru-merged)
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Zephyr Python Ru Merged Parameters and Internals

Model Type 
Base model
Use Cases 
Areas:
research
Primary Use Cases:
Instruction-based coding in Python, based on instructions written in English or Russian
Considerations:
This adapter model is intended (but not limited) for research usage only. It does not have any moderation mechanisms.
Additional Notes 
Users should be aware of the risks, biases, and limitations of the model.
Supported Languages 
ru (NLP), en (NLP)
Training Details 
Data Sources:
MexIvanov/Vezora-Tested-22k-Python-Alpaca-ru, MexIvanov/CodeExercise-Python-27k-ru, zelkame/ru-stackoverflow-py
Methodology:
Merged with LoRA (Peft) adapter model MexIvanov/zephyr-python-ru trained on a mix of publicly available data and machine-translated synthetic python coding datasets.
LLM NameZephyr Python Ru Merged
Repository 🤗https://huggingface.co/MexIvanov/zephyr-python-ru-merged 
Base Model(s)  Zephyr 7B Beta   HuggingFaceH4/zephyr-7b-beta
Model Size7b
Required VRAM14.4 GB
Updated2026-03-30
MaintainerMexIvanov
Model Typemistral
Model Files  1.9 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   0.8 GB: 8-of-8
Supported Languagesen ru
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than MexIvanov/zephyr-python-ru-merged.

Rank the Zephyr Python Ru Merged 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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