H2ogpt Oasst1 512 12B by h2oai

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  Autotrain compatible Dataset:h2oai/openassistant oa...   En   Gpt   Gpt neox   Open-source   Pytorch   Region:us   Sharded

H2ogpt Oasst1 512 12B Benchmarks

H2ogpt Oasst1 512 12B (h2oai/h2ogpt-oasst1-512-12b)

H2ogpt Oasst1 512 12B Parameters and Internals

Model Type 
large language model, instruction-following
Supported Languages 
languages_supported (en), proficiency_level (unknown)
Training Details 
Data Sources:
h2oai/openassistant_oasst1_h2ogpt_graded
Methodology:
Using the fine-tuning dataset
Context Length:
2048
Model Architecture:
GPTNeoXForCausalLM
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
Performance Tips:
To use effectively, adhere to setup guidelines such as using specific software versions identified in the model card.
LLM NameH2ogpt Oasst1 512 12B
Repository ๐Ÿค—https://huggingface.co/h2oai/h2ogpt-oasst1-512-12b 
Model Size12b
Required VRAM23.9 GB
Updated2025-02-22
Maintainerh2oai
Model Typegpt_neox
Model Files  5.0 GB: 1-of-5   4.8 GB: 2-of-5   4.9 GB: 3-of-5   5.0 GB: 4-of-5   4.2 GB: 5-of-5
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50688
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than h2oai/h2ogpt-oasst1-512-12b.

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227