Kolibri Vikhr Mistral 0427 by Vikhrmodels

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  Autotrain compatible   Conversational   En   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Ru   Safetensors   Sharded   Tensorflow

Kolibri Vikhr Mistral 0427 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kolibri Vikhr Mistral 0427 (Vikhrmodels/kolibri-vikhr-mistral-0427)

Kolibri Vikhr Mistral 0427 Parameters and Internals

Model Type 
instruction following, optimized for Russian language
Use Cases 
Applications:
information retrieval, classification, semantic analysis, translation (EN-RU)
Supported Languages 
en (proficient), ru (optimized)
Training Details 
Data Sources:
multitude of instruction datasets
Methodology:
curriculum learning
LLM NameKolibri Vikhr Mistral 0427
Repository ๐Ÿค—https://huggingface.co/Vikhrmodels/kolibri-vikhr-mistral-0427 
Model Size7.6b
Required VRAM15.2 GB
Updated2025-02-22
MaintainerVikhrmodels
Model Typemistral
Model Files  4.6 GB   5.4 GB   8.1 GB   4.9 GB: 1-of-4   5.0 GB: 2-of-4   4.7 GB: 3-of-4   0.6 GB: 4-of-4
Supported Languagesen ru
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size79099
Torch Data Typebfloat16

Rank the Kolibri Vikhr Mistral 0427 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227