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SAP Basis RAG V0.1 by orkungedik

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SAP Basis RAG V0.1 is an open-source language model by orkungedik. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.16.

  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/orkungedik/SAP_basis_RAG_v0.1 

SAP Basis RAG V0.1 Benchmarks

LLME Score: 0.15857
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SAP Basis RAG V0.1 (orkungedik/SAP_basis_RAG_v0.1)
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SAP Basis RAG V0.1 Parameters and Internals

LLM NameSAP Basis RAG V0.1
Repository 🤗https://huggingface.co/orkungedik/SAP_basis_RAG_v0.1 
Model Size8b
Required VRAM16.1 GB
Updated2025-09-01
Maintainerorkungedik
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Zero Llama 3.1 8B Beta61048K / 16.1 GB51
...dger Nu Llama 3.1 8B UltraLong1048K / 16.2 GB53
Note: green Score (e.g. "73.2") means that the model is better than orkungedik/SAP_basis_RAG_v0.1.

Rank the SAP Basis RAG V0.1 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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