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Hermes 2 Pro Mistral 7B AWQ by solidrust

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  4-bit   Autotrain compatible   Awq Base model:nousresearch/hermes... Base model:quantized:nousresea...   Chatml   Conversational   Dataset:teknium/openhermes-2.5   Distillation   Dpo   En   Endpoints compatible   Finetuned   Function calling   Gpt4   Instruct   Json mode   Mistral   Quantized   Region:us   Rlhf   Safetensors   Synthetic data
Model Card on HF 🤗: https://huggingface.co/solidrust/Hermes-2-Pro-Mistral-7B-AWQ 

Hermes 2 Pro Mistral 7B AWQ Benchmarks

LLME Score: 0.18287
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 (solidrust/Hermes-2-Pro-Mistral-7B-AWQ)

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
Updated2024-12-22
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

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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 v20241217
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