Cassandra 2.8B by wbrown

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  Autotrain compatible   Endpoints compatible   F16   Finetuned   Ggml   Gpt neox   Pytorch   Q4   Quantized   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/wbrown/cassandra-2.8b 

Cassandra 2.8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cassandra 2.8B (wbrown/cassandra-2.8b)
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Cassandra 2.8B Parameters and Internals

LLM NameCassandra 2.8B
Repository ๐Ÿค—https://huggingface.co/wbrown/cassandra-2.8b 
Model Size2.8b
Required VRAM1.7 GB
Updated2025-09-07
Maintainerwbrown
Model Typegpt_neox
Model Files  5.5 GB   1.7 GB   2.1 GB   1.9 GB   2.1 GB   3.1 GB   6.1 GB
GGML QuantizationYes
Quantization Typeggml|q4
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.27.2
Vocabulary Size50277
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than wbrown/cassandra-2.8b.

Rank the Cassandra 2.8B 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