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H2ogpt Gm Oasst1 En 1024 12B by h2oai

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  Autotrain compatible   Dataset:openassistant/oasst1   En   Gpt   Gpt neox   H2o-llmstudio   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/h2oai/h2ogpt-gm-oasst1-en-1024-12b 

H2ogpt Gm Oasst1 En 1024 12B Benchmarks

ARC: 43.09 vs 96.7 (so35)-55.4%
HellaSwag: 69.75 vs 95.3 (gpt4)-26.8%
MMLU: 25.87 vs 88.3 (so35)-70.7%
TruthfulQA: 38 vs 59 (gpt4)-35.6%
WinoGrande: 66.14 vs 87.5 (gpt4)-24.4%
GSM8K: 1.06 vs 96.4 (so35)-98.9%
LLME Score: 0.15931
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
H2ogpt Gm Oasst1 En 1024 12B (h2oai/h2ogpt-gm-oasst1-en-1024-12b)

H2ogpt Gm Oasst1 En 1024 12B Parameters and Internals

Model Type 
gpt, llm, large language model
Supported Languages 
en (proficient)
Training Details 
Data Sources:
OpenAssistant/oasst1
Model Architecture:
GPTNeoXForCausalLM with GPTNeoXModel embedding, layers, and layer normalization
Input Output 
Accepted Modalities:
text
LLM NameH2ogpt Gm Oasst1 En 1024 12B
Repository 🤗https://huggingface.co/h2oai/h2ogpt-gm-oasst1-en-1024-12b 
Model Size12b
Required VRAM23.8 GB
Updated2024-12-21
Maintainerh2oai
Model Typegpt_neox
Model Files  10.0 GB: 1-of-3   9.9 GB: 2-of-3   3.9 GB: 3-of-3
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-gm-oasst1-en-1024-12b.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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