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Hermes 2 Pro Mistral 7B AWQ by solidrust

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Hermes 2 Pro Mistral 7B AWQ Benchmarks

LLME Score: 0.20396
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Hermes 2 Pro Mistral 7B AWQ Parameters and Internals

LLM NameHermes 2 Pro Mistral 7B AWQ
Repository 🤗https://huggingface.co/solidrust/Hermes-2-Pro-Mistral-7B-AWQ 
Base Model(s)  Hermes 2 Pro Mistral 7B   NousResearch/Hermes-2-Pro-Mistral-7B
Model Size7b
Required VRAM4.2 GB
Updated2024-09-20
Maintainersolidrust
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32032
Torch Data Typefloat16
Hermes 2 Pro Mistral 7B AWQ (solidrust/Hermes-2-Pro-Mistral-7B-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than solidrust/Hermes-2-Pro-Mistral-7B-AWQ.

Rank the Hermes 2 Pro Mistral 7B AWQ Capabilities

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Release v2024072803
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