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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

ARC: 57.51 vs 96.7 (so35)-40.5%
HellaSwag: 80.34 vs 95.3 (gpt4)-15.7%
MMLU: 56.19 vs 88.3 (so35)-36.4%
TruthfulQA: 49.54 vs 59 (gpt4)-16%
WinoGrande: 76.24 vs 87.5 (gpt4)-12.9%
GSM8K: 24.64 vs 96.4 (so35)-74.4%
LLME Score: 0.22508
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

ConvAI 9B Parameters and Internals

LLM NameConvAI 9B
Repository 🤗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
Updated2024-10-18
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
ConvAI 9B (CreitinGameplays/ConvAI-9b)

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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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Release v2024072803
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