Mistral 7B Customer Support by bitext

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Mistral 7B Customer Support 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: 0.14.

  Axolotl   Conversational   Generated from trainer   Instruct   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Mistral 7B Customer Support Benchmarks

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

Mistral 7B Customer Support Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Customer support
Applications:
Chatbots, Virtual assistants, Copilots
Primary Use Cases:
Customer support inquiries
Limitations:
Not suitable for general conversational purposes, medical, legal, or safety-critical advice
Considerations:
Users should be aware of potential biases in the training data.
Additional Notes 
This model is fine-tuned on a domain-specific dataset and may not perform well outside the scope of customer service. It showcases a fine-tuning approach meant to ease customization of general models for specific use cases.
Training Details 
Data Sources:
bitext/Bitext-customer-support-llm-chatbot-training-dataset
Data Volume:
26,872 question/answer pairs, around 1000 per intent
Methodology:
Fine-tuning using hybrid synthetic data generated using NLP/NLG technology and automated Data Labeling (DAL) tools.
Model Architecture:
MistralForCausalLM with a LlamaTokenizer
LLM NameMistral 7B Customer Support
Repository 🤗https://huggingface.co/bitext/Mistral-7B-Customer-Support 
Model Size7b
Required VRAM14.4 GB
Updated2026-05-20
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   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.0.dev0
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-Customer-Support.

Rank the Mistral 7B Customer Support 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