R Model by hackint0sh

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  4bit   Autotrain compatible   Conversational   Endpoints compatible   Gguf   Instruct   Mistral   Pytorch   Quantized   Region:us   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/hackint0sh/r_model 

R Model Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
R Model (hackint0sh/r_model)

R Model Parameters and Internals

LLM NameR Model
Repository ๐Ÿค—https://huggingface.co/hackint0sh/r_model 
Required VRAM7.6 GB
Updated2025-04-29
Maintainerhackint0sh
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2   2.3 GB
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureMistralForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than hackint0sh/r_model.

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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