Saul 7B Merged 3000 by ruchi012

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Saul 7B Merged 3000 is an open-source language model by ruchi012. Features: 7b LLM, VRAM: 28.9GB, Context: 32K, Instruction-Based, Merged, LLM Explorer Score: 0.16.

  Merged Model   Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Saul 7B Merged 3000 Benchmarks

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

Saul 7B Merged 3000 Parameters and Internals

LLM NameSaul 7B Merged 3000
Repository 🤗https://huggingface.co/ruchi012/saul-7B-merged-3000 
Merged ModelYes
Model Size7b
Required VRAM28.9 GB
Updated2024-11-08
Maintainerruchi012
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.2 GB: 6-of-6
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.45.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than ruchi012/saul-7B-merged-3000.

Rank the Saul 7B Merged 3000 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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Release v20260328a