Dolly V2 12B 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 12B 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 12B Sharded 8bit (ethzanalytics/dolly-v2-12b-sharded-8bit)

Dolly V2 12B Sharded 8bit Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
This model is designed for lightweight usage with lower memory consumption.
Supported Languages 
en (proficient)
Input Output 
Input Format:
N/A
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use `use_cache=True` and generate via contrastive search for improved speed
Release Notes 
Version:
v1.0
Notes:
Initial release of 8bit sharded model.
LLM NameDolly V2 12B Sharded 8bit
Repository ๐Ÿค—https://huggingface.co/ethzanalytics/dolly-v2-12b-sharded-8bit 
Base Model(s)  Dolly V2 12B Sharded Bf16   diegi97/dolly-v2-12b-sharded-bf16
Model Size12b
Required VRAM12.4 GB
Updated2025-02-22
Maintainerethzanalytics
Model Typegpt_neox
Model Files  4.0 GB: 1-of-4   4.0 GB: 2-of-4   3.9 GB: 3-of-4   0.5 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-v2-12b-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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227