Bloom 3B Conversational by CreitinGameplays

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Bloom 3B Conversational Benchmarks

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Bloom 3B Conversational Parameters and Internals

Model Type 
text generation, chatbot, conversational AI
Use Cases 
Areas:
research, exploration of conversational AI applications
Primary Use Cases:
Generating responses to user prompts in a chat assistant setting, Creating chatbot interaction examples, Studying language models for conversation
Limitations:
Optimized for specific formats, May not generalize to different styles, Potential biases, Limited factual accuracy, Primarily English responses
Supported Languages 
en (primary)
Training Details 
Data Sources:
Xilabs/instructmix, CreitinGameplays/small-chat-assistant-for-bloom, sahil2801/CodeAlpaca-20k
Methodology:
Fine-tuned for chat assistance
Model Architecture:
bloom
Input Output 
Input Format:
<|system|> {system prompt} ~~ <|prompter|> {user prompt} ~~ <|assistant|> {model response}
Performance Tips:
Use the specified input format for improved performance.
LLM NameBloom 3B Conversational
Repository ๐Ÿค—https://huggingface.co/CreitinGameplays/bloom-3b-conversational 
Model Size3b
Required VRAM6.1 GB
Updated2024-12-02
MaintainerCreitinGameplays
Model Typebloom
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureBloomForCausalLM
Licensemit
Transformers Version4.39.3
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size250880
Torch Data Typefloat16
Bloom 3B Conversational (CreitinGameplays/bloom-3b-conversational)

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Rank the Bloom 3B Conversational 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 v20241124