Stablelm Tuned Alpha 7B Sharded 8bit by ethzanalytics

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  8-bit   8bit   Autotrain compatible   En   Finetuned   Gpt neox   Pytorch   Quantized   Region:us   Sharded   Stablelm

Stablelm Tuned Alpha 7B Sharded 8bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Stablelm Tuned Alpha 7B Sharded 8bit Parameters and Internals

LLM NameStablelm Tuned Alpha 7B Sharded 8bit
Repository ๐Ÿค—https://huggingface.co/ethzanalytics/stablelm-tuned-alpha-7b-sharded-8bit 
Model Size7b
Required VRAM8.6 GB
Updated2024-10-18
Maintainerethzanalytics
Model Typegpt_neox
Model Files  2.0 GB: 1-of-5   2.0 GB: 2-of-5   2.0 GB: 3-of-5   2.0 GB: 4-of-5   0.6 GB: 5-of-5
Supported Languagesen
Quantization Type8bit
Model ArchitectureGPTNeoXForCausalLM
Licensecc-by-nc-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat16
Stablelm Tuned Alpha 7B Sharded 8bit (ethzanalytics/stablelm-tuned-alpha-7b-sharded-8bit)

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Note: green Score (e.g. "73.2") means that the model is better than ethzanalytics/stablelm-tuned-alpha-7b-sharded-8bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803