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AlphaMonarch 7B AWQ by LoneStriker

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AlphaMonarch 7B AWQ Benchmarks

LLME Score: 0.19477
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

AlphaMonarch 7B AWQ Parameters and Internals

LLM NameAlphaMonarch 7B AWQ
Repository 🤗https://huggingface.co/LoneStriker/AlphaMonarch-7B-AWQ 
Base Model(s)  NeuralMonarch 7B   mlabonne/NeuralMonarch-7B
Model Size7b
Required VRAM4.2 GB
Updated2024-09-16
MaintainerLoneStriker
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
AlphaMonarch 7B AWQ (LoneStriker/AlphaMonarch-7B-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/AlphaMonarch-7B-AWQ.

Rank the AlphaMonarch 7B AWQ Capabilities

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