Dolly V2 12B Sharded Bf16 by diegi97

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  Autotrain compatible   Endpoints compatible   Gpt neox   Pytorch   Region:us   Sharded

Dolly V2 12B Sharded Bf16 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 Bf16 (diegi97/dolly-v2-12b-sharded-bf16)

Dolly V2 12B Sharded Bf16 Parameters and Internals

Model Type 
text generation
Additional Notes 
Utilizes sharding to load the model in parts, directly onto the GPU, optimizing memory resource usage.
Training Details 
Methodology:
Sharded loading technique to reduce CPU memory requirements.
LLM NameDolly V2 12B Sharded Bf16
Repository ๐Ÿค—https://huggingface.co/diegi97/dolly-v2-12b-sharded-bf16 
Model Size12b
Required VRAM23.8 GB
Updated2025-02-23
Maintainerdiegi97
Model Typegpt_neox
Model Files  2.0 GB: 1-of-13   1.9 GB: 2-of-13   1.9 GB: 3-of-13   1.9 GB: 4-of-13   1.9 GB: 5-of-13   1.9 GB: 6-of-13   1.9 GB: 7-of-13   1.9 GB: 8-of-13   1.9 GB: 9-of-13   1.9 GB: 10-of-13   1.9 GB: 11-of-13   1.9 GB: 12-of-13   0.9 GB: 13-of-13
Model ArchitectureGPTNeoXForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.26.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50280
Torch Data Typebfloat16

Quantized Models of the Dolly V2 12B Sharded Bf16

Model
Likes
Downloads
VRAM
Dolly V2 12B Sharded 8bit41912 GB

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Note: green Score (e.g. "73.2") means that the model is better than diegi97/dolly-v2-12b-sharded-bf16.

Rank the Dolly V2 12B Sharded Bf16 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 v20241227