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Ruphi 4B by ehristoforu

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  4bit   Autotrain compatible Base model:finetune:unsloth/ph... Base model:unsloth/phi-3.5-min...   Conversational   Custom code   En   Endpoints compatible   Instruct   Llama   Phi3   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/ehristoforu/ruphi-4b 

Ruphi 4B Benchmarks

MMLU Pro: 1.4
MUSR: 3.16
BBH: 2.4
IFEval: 17.52 vs 88 (so35)-80.1%
LLME Score: 0.28524
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ruphi 4B (ehristoforu/ruphi-4b)

Ruphi 4B Parameters and Internals

LLM NameRuphi 4B
Repository 🤗https://huggingface.co/ehristoforu/ruphi-4b 
Base Model(s)  unsloth/Phi-3.5-mini-instruct-bnb-4bit   unsloth/Phi-3.5-mini-instruct-bnb-4bit
Model Size4b
Required VRAM7.6 GB
Updated2025-01-21
Maintainerehristoforu
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitecturePhi3ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.43.3
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

Best Alternatives to Ruphi 4B

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Context / RAM
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...Instruct V0.3 HQQ 1bit Smashed4K / 0.9 GB180
Calme 2.1 Phi3.5 4B128K / 7.7 GB574
Phi3.5 Gutenberg 4B128K / 7.7 GB1364
Calme 2.1 Phi3 4B4K / 7.7 GB1771
Calme 2.3 Phi3 4B4K / 7.7 GB1549
Calme 2.2 Phi3 4B4K / 7.7 GB262
Phi 3.5 Mini Hyper128K / 7.7 GB70
Note: green Score (e.g. "73.2") means that the model is better than ehristoforu/ruphi-4b.

Rank the Ruphi 4B 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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