LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Mistral 7B Banking V2 by bitext

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

  24   

Mistral 7B Banking V2 is an open-source language model by bitext. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.13.

  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: 0.13304
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)
🌟 Advertise your project 🚀

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
Updated2026-03-02
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

Best Alternatives to Mistral 7B Banking V2

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB25420
SpydazWeb AI HumanAI RP512K / 14.4 GB141
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...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 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB3727181828
Mistral 7B Instruct V0.232K / 14.4 GB57590
Mixtral AI CyberCoder32K / 14.3 GB00
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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 52721 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer