ConvAI 9B by CreitinGameplays

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  Merged Model   Autotrain compatible Base model:finetune:huggingfac... Base model:huggingfaceh4/zephy...   Conversational   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

ConvAI 9B Benchmarks

ConvAI 9B (CreitinGameplays/ConvAI-9b)

ConvAI 9B Parameters and Internals

Model Type 
text generation, conversational AI
Use Cases 
Areas:
conversational AI applications
Applications:
Chatbots, Virtual assistants, Interactive storytelling, Educational tools
Limitations:
May generate incorrect or misleading responses, May exhibit biases present in the training data, Performance can be affected by the quality and format of the input text
Supported Languages 
en (proficient)
Training Details 
Data Sources:
CreitinGameplays/merged-data-v2
Methodology:
fine-tuning on a custom dataset of conversations
LLM NameConvAI 9B
Repository ๐Ÿค—https://huggingface.co/CreitinGameplays/ConvAI-9b 
Base Model(s)  Zephyr 7B Beta   mistral-community/Mistral-7B-v0.2   HuggingFaceH4/zephyr-7b-beta   mistral-community/Mistral-7B-v0.2
Merged ModelYes
Model Size7b
Required VRAM17.9 GB
Updated2025-03-22
MaintainerCreitinGameplays
Model Typemistral
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   3.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than CreitinGameplays/ConvAI-9b.

Rank the ConvAI 9B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227