FNCARL9000 by sixtyoneeighty

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FNCARL9000 Benchmarks

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

FNCARL9000 Parameters and Internals

LLM NameFNCARL9000
Repository ๐Ÿค—https://huggingface.co/sixtyoneeighty/FNCARL9000 
Base Model(s)  Mistral 7B OpenOrca   NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story   The Trinity Coder 7B   T3Q Mistral Orca Math DPO   Open-Orca/Mistral-7B-OpenOrca   NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story   S-miguel/The-Trinity-Coder-7B   chihoonlee10/T3Q-Mistral-Orca-Math-DPO
Model Size7b
Required VRAM48.3 GB
Updated2024-09-20
Maintainersixtyoneeighty
Model Typemixtral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-5   10.0 GB: 2-of-5   10.0 GB: 3-of-5   10.0 GB: 4-of-5   8.4 GB: 5-of-5
Generates CodeYes
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32002
Torch Data Typebfloat16
FNCARL9000 (sixtyoneeighty/FNCARL9000)

Rank the FNCARL9000 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 v2024072803