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QS Sentry FT Mistral 7B Instruct V0.2 by forumsystems

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  Autotrain compatible   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

QS Sentry FT Mistral 7B Instruct V0.2 Benchmarks

LLME Score: 0.20849
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

QS Sentry FT Mistral 7B Instruct V0.2 Parameters and Internals

LLM NameQS Sentry FT Mistral 7B Instruct V0.2
Repository 🤗https://huggingface.co/forumsystems/QS-Sentry-FT-Mistral-7B-Instruct-v0.2 
Model Size7b
Required VRAM28.9 GB
Updated2024-10-18
Maintainerforumsystems
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
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Vocabulary Size32000
Torch Data Typefloat32
QS Sentry FT Mistral 7B Instruct V0.2 (forumsystems/QS-Sentry-FT-Mistral-7B-Instruct-v0.2)

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Note: green Score (e.g. "73.2") means that the model is better than forumsystems/QS-Sentry-FT-Mistral-7B-Instruct-v0.2.

Rank the QS Sentry FT Mistral 7B Instruct V0.2 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 v2024072803
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