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Saul 7B Instruct V1 by Equall

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Saul 7B Instruct V1 is an open-source language model by Equall. Features: 7b LLM, VRAM: 28.9GB, Context: 32K, License: mit, Instruction-Based, LLM Explorer Score: 0.15.

  Arxiv:2403.03883   Conversational   Deploy:azure   En   Endpoints compatible   Instruct   Legal   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Equall/Saul-7B-Instruct-v1 

Saul 7B Instruct V1 Benchmarks

LLME Score: 0.14684
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Saul 7B Instruct V1 (Equall/Saul-7B-Instruct-v1)
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Saul 7B Instruct V1 Parameters and Internals

LLM NameSaul 7B Instruct V1
Repository 🤗https://huggingface.co/Equall/Saul-7B-Instruct-v1 
Model Size7b
Required VRAM28.9 GB
Updated2026-05-12
MaintainerEquall
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
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32

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...Nemo Instruct 2407 Abliterated1000K / 24.5 GB25420
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...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB60
...1 Summarize 64K LoRANET Merged128K / 14.4 GB60
Mistral 7B Instruct V0.232K / 14.4 GB31562273149
Mistral 7B Instruct V0.132K / 14.4 GB3024581833
Mistral 7B Instruct V0.232K / 14.4 GB57590
Mistral Sk 7B Alpaca Slovak It32K / 13.4 GB4660
Note: green Score (e.g. "73.2") means that the model is better than Equall/Saul-7B-Instruct-v1.

Rank the Saul 7B Instruct V1 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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