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Gptneox Response Full Static Sft by Dahoas

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  Autotrain compatible   Endpoints compatible   Gpt neox   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Dahoas/gptneox-response-full-static-sft 

Gptneox Response Full Static Sft Benchmarks

LLME Score: 0.07399
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gptneox Response Full Static Sft (Dahoas/gptneox-response-full-static-sft)
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Gptneox Response Full Static Sft Parameters and Internals

LLM NameGptneox Response Full Static Sft
Repository 🤗https://huggingface.co/Dahoas/gptneox-response-full-static-sft 
Model Size20b
Required VRAM82.5 GB
Updated2025-07-01
MaintainerDahoas
Model Typegpt_neox
Model Files  9.7 GB: 1-of-9   9.7 GB: 2-of-9   9.7 GB: 3-of-9   9.7 GB: 4-of-9   9.7 GB: 5-of-9   9.7 GB: 6-of-9   9.7 GB: 7-of-9   9.7 GB: 8-of-9   4.9 GB: 9-of-9
Model ArchitectureGPTNeoXForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.26.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Dahoas/gptneox-response-full-static-sft.

Rank the Gptneox Response Full Static Sft Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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