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H2ogpt Oig Oasst1 512 6 9B by h2oai

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  Autotrain compatible Dataset:h2oai/h2ogpt-fortune20... Dataset:h2oai/h2ogpt-oig-oasst... Dataset:h2oai/openassistant oa...   En   Gpt   Gpt neox   Instruct   Open-source   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/h2oai/h2ogpt-oig-oasst1-512-6_9b 

H2ogpt Oig Oasst1 512 6 9b Benchmarks

ARC: 40.44 vs 96.7 (so35)-58.2%
HellaSwag: 65.58 vs 95.3 (gpt4)-31.2%
MMLU: 24.9 vs 88.3 (so35)-71.8%
TruthfulQA: 36.68 vs 59 (gpt4)-37.8%
WinoGrande: 62.51 vs 87.5 (gpt4)-28.6%
GSM8K: 0.99 vs 96.4 (so35)-99%
LLME Score: 0.15541
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
H2ogpt Oig Oasst1 512 6 9B (h2oai/h2ogpt-oig-oasst1-512-6_9b)

H2ogpt Oig Oasst1 512 6 9B Parameters and Internals

Model Type 
large language model, instruction-following
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
instruction-following tasks
Limitations:
The model may produce incorrect, biased, or offensive content.
Considerations:
Use of the model signifies agreement to all disclaimers and terms.
Additional Notes 
The model can be used to run chatbots as demonstrated in example code.
Supported Languages 
en (native)
Training Details 
Data Sources:
h2oai/h2ogpt-oig-oasst1-instruct-cleaned-v1, h2oai/openassistant_oasst1_h2ogpt, h2oai/h2ogpt-fortune2000-personalized, h2oai/h2ogpt-oig-oasst1-instruct-cleaned-v3
Methodology:
finetuned from EleutherAI/pythia-6.9b
Context Length:
2048
Model Architecture:
GPTNeoX
Input Output 
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Ensure the latest versions of required libraries are installed for optimal performance.
LLM NameH2ogpt Oig Oasst1 512 6 9b
Repository 🤗https://huggingface.co/h2oai/h2ogpt-oig-oasst1-512-6_9b 
Model Size9b
Required VRAM13.8 GB
Updated2025-02-22
Maintainerh2oai
Model Typegpt_neox
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   3.8 GB: 3-of-3
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat16

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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
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