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H2ogpt Research Oig Oasst1 512 30B by h2oai

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  Autotrain compatible Dataset:h2oai/h2ogpt-oig-oasst...   En   Gpt   Instruct   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/h2oai/h2ogpt-research-oig-oasst1-512-30b 

H2ogpt Research Oig Oasst1 512 30B Benchmarks

LLME Score: 0.11586
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
H2ogpt Research Oig Oasst1 512 30B (h2oai/h2ogpt-research-oig-oasst1-512-30b)

H2ogpt Research Oig Oasst1 512 30B Parameters and Internals

Model Type 
instruction-following, large language model
Additional Notes 
All details about performance etc. are provided in the LORA Model Card.
Supported Languages 
en (full proficiency)
LLM NameH2ogpt Research Oig Oasst1 512 30B
Repository 🤗https://huggingface.co/h2oai/h2ogpt-research-oig-oasst1-512-30b 
Model Size30b
Required VRAM81.1 GB
Updated2025-02-22
Maintainerh2oai
Model Typellama
Instruction-BasedYes
Model Files  6.0 GB: 1-of-14   5.9 GB: 2-of-14   6.2 GB: 3-of-14   6.3 GB: 4-of-14   5.9 GB: 5-of-14   6.3 GB: 6-of-14   6.0 GB: 7-of-14   6.2 GB: 8-of-14   6.3 GB: 9-of-14   5.9 GB: 10-of-14   6.3 GB: 11-of-14   6.0 GB: 12-of-14   6.2 GB: 13-of-14   1.6 GB: 14-of-14
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than h2oai/h2ogpt-research-oig-oasst1-512-30b.

Rank the H2ogpt Research Oig Oasst1 512 30B 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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Release v20241227
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