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R Model by hackint0sh

 »  All LLMs  »  hackint0sh  »  R Model   URL Share it on

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

R Model Benchmarks

LLME Score: 0.20025
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 🤗https://huggingface.co/hackint0sh/r_model 
Required VRAM7.6 GB
Updated2025-02-05
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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MainPHI34K / 7.6 GB770
Model4K / 7.6 GB780
Note: green Score (e.g. "73.2") means that the model is better than hackint0sh/r_model.

Rank the R Model 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
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