Dolly V2 7B Sharded 8bit by ethzanalytics

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  8-bit   8bit   Autotrain compatible Dataset:databricks/databricks-...   Dolly   Dolly-v2   En   Gpt neox   Instruct   Pytorch   Quantized   Region:us   Sharded

Dolly V2 7B Sharded 8bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolly V2 7B Sharded 8bit (ethzanalytics/dolly-v2-7b-sharded-8bit)
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Dolly V2 7B Sharded 8bit Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is optimized for low-RAM loading using 8-bit quantization techniques with `bitsandbytes`, making it suitable for use in environments like Google Colab.
Supported Languages 
en (fluent)
LLM NameDolly V2 7B Sharded 8bit
Repository ๐Ÿค—https://huggingface.co/ethzanalytics/dolly-v2-7b-sharded-8bit 
Base Model(s)  Dolly V2 7B Sharded   ethzanalytics/dolly-v2-7b-sharded
Model Size7b
Required VRAM7.4 GB
Updated2025-08-18
Maintainerethzanalytics
Model Typegpt_neox
Model Files  2.0 GB: 1-of-4   2.0 GB: 2-of-4   2.0 GB: 3-of-4   1.4 GB: 4-of-4
Supported Languagesen
Quantization Type8bit
Model ArchitectureGPTNeoXForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50280
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ethzanalytics/dolly-v2-7b-sharded-8bit.

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124