Mistral 7B Customer Support by bitext

 ยป  All LLMs  ยป  bitext  ยป  Mistral 7B Customer Support   URL Share it on

  Autotrain compatible   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 (bitext/Mistral-7B-Customer-Support)

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 ๐Ÿค—https://huggingface.co/bitext/Mistral-7B-Customer-Support 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-05
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

Best Alternatives to Mistral 7B Customer Support

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB522710
SpydazWeb AI HumanAI RP512K / 14.4 GB51
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB760
...1 Summarize 64K LoRANET Merged128K / 14.4 GB50
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB12462781551
...ity Instruct 7M Gen Mistral 7B32K / 14.4 GB37145
...ty Instruct 3M 0613 Mistral 7B32K / 14.4 GB641511
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

๐Ÿ†˜ 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! ๐ŸŒŸ

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? 42577 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227