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CapybaraHermes 2.5 Mistral 7B AWQ by TheBloke

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CapybaraHermes 2.5 Mistral 7B AWQ Benchmarks

LLME Score: 0.24594
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

CapybaraHermes 2.5 Mistral 7B AWQ Parameters and Internals

LLM NameCapybaraHermes 2.5 Mistral 7B AWQ
Repository 🤗https://huggingface.co/TheBloke/CapybaraHermes-2.5-Mistral-7B-AWQ 
Model NameCapyBaraHermes 2.5 Mistral 7B
Model CreatorArgilla
Base Model(s)  argilla/CapybaraHermes-2.5-Mistral-7B   argilla/CapybaraHermes-2.5-Mistral-7B
Model Size7b
Required VRAM4.2 GB
Updated2024-09-07
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typefloat16
CapybaraHermes 2.5 Mistral 7B AWQ (TheBloke/CapybaraHermes-2.5-Mistral-7B-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CapybaraHermes-2.5-Mistral-7B-AWQ.

Rank the CapybaraHermes 2.5 Mistral 7B AWQ Capabilities

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Release v2024072803
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