Newton 7B 8.0bpw H8 EXL2 by LoneStriker

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  Arxiv:2305.14314   Autotrain compatible   Axolotl Base model:finetune:openchat/o... Base model:openchat/openchat-3...   Conversational   Dataset:allenai/ai2 arc   Dataset:camel-ai/biology   Dataset:camel-ai/chemistry   Dataset:camel-ai/math   Dataset:camel-ai/physics   Dataset:derek-thomas/scienceqa Dataset:hendrycks/competition ...   Dataset:mandyyyyii/scibench   Dataset:metaeval/reclor   Dataset:openbookqa   Dataset:piqa   Dataset:sciq Dataset:stem-ai-mtl/electrical...   Dataset:tiger-lab/scienceeval   Endpoints compatible   Exl2   Finetuned   Mistral   Qlora   Quantized   Region:us   Safetensors

Newton 7B 8.0bpw H8 EXL2 Benchmarks

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

Newton 7B 8.0bpw H8 EXL2 Parameters and Internals

LLM NameNewton 7B 8.0bpw H8 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/Newton-7B-8.0bpw-h8-exl2 
Base Model(s)  openchat/openchat-3.5-0106   openchat/openchat-3.5-0106
Model Size7b
Required VRAM7.4 GB
Updated2024-09-07
MaintainerLoneStriker
Model Typemistral
Model Files  7.4 GB
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16
Newton 7B 8.0bpw H8 EXL2 (LoneStriker/Newton-7B-8.0bpw-h8-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Newton-7B-8.0bpw-h8-exl2.

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