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Hermes 2 Pro Llama 3 8B AWQ by solidrust

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Hermes 2 Pro Llama 3 8B AWQ Benchmarks

ARC: 63.48 vs 96.7 (so35)-34.4%
HellaSwag: 83.22 vs 95.3 (gpt4)-12.7%
MMLU: 64.8 vs 88.3 (so35)-26.6%
TruthfulQA: 56.56 vs 59 (gpt4)-4.1%
WinoGrande: 76.4 vs 87.5 (gpt4)-12.7%
GSM8K: 67.93 vs 96.4 (so35)-29.5%
LLME Score: 0.24049
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 Llama 3 8B AWQ Parameters and Internals

LLM NameHermes 2 Pro Llama 3 8B AWQ
Repository 🤗https://huggingface.co/solidrust/Hermes-2-Pro-Llama-3-8B-AWQ 
Base Model(s)  Hermes 2 Pro Llama 3 8B   NousResearch/Hermes-2-Pro-Llama-3-8B
Model Size8b
Required VRAM5.8 GB
Updated2024-09-07
Maintainersolidrust
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128288
Torch Data Typefloat16
Hermes 2 Pro Llama 3 8B AWQ (solidrust/Hermes-2-Pro-Llama-3-8B-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than solidrust/Hermes-2-Pro-Llama-3-8B-AWQ.

Rank the Hermes 2 Pro Llama 3 8B AWQ Capabilities

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Release v2024072803
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