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Mistral 7B Banking V2 by bitext

 »  All LLMs  »  bitext  »  Mistral 7B Banking V2   URL Share it on

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  Autotrain compatible   Conversational   Generated from trainer   Instruct   Mistral   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/bitext/Mistral-7B-Banking-v2 

Mistral 7B Banking V2 Benchmarks

LLME Score: 0.19234
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Banking V2 (bitext/Mistral-7B-Banking-v2)

Mistral 7B Banking V2 Parameters and Internals

Model Type 
text-generation
Use Cases 
Applications:
chatbots, virtual assistants, copilots for Banking domain
Limitations:
Not suited for non-banking related questions, Should not be used for providing health, legal, or critical safety advice
Additional Notes 
This model is optimized to answer questions and assist users with various banking transactions. It shows that a generic verticalized model makes customization for a final use case much easier.
Training Details 
Data Sources:
bitext/Bitext-customer-support-llm-chatbot-training-dataset
Context Length:
8192
Model Architecture:
MistralForCausalLM with LlamaTokenizer
Responsible Ai Considerations 
Transparency:
Potential biases in the training data could affect the neutrality of the responses; users are encouraged to evaluate responses critically.
LLM NameMistral 7B Banking V2
Repository 🤗https://huggingface.co/bitext/Mistral-7B-Banking-v2 
Model Size7b
Required VRAM14.4 GB
Updated2025-01-20
Maintainerbitext
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than bitext/Mistral-7B-Banking-v2.

Rank the Mistral 7B Banking V2 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 v20241227
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