Merged Model Abacusai/llama-3-smaug-8b Autotrain compatible Cognitivecomputations/dolphin-... Conversational Endpoints compatible Llama Nousresearch/hermes-2-pro-llam... Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/saucam/aqua-smaug-hermes-8B
Aqua Smaug Hermes 8B Benchmarks
ARC: 62.03 vs 96.7 (so35)-35.9%
HellaSwag: 82.31 vs 95.3 (gpt4)-13.6%
MMLU: 66.18 vs 88.3 (so35)-25.1%
TruthfulQA: 55.56 vs 59 (gpt4)-5.8%
WinoGrande: 76.4 vs 87.5 (gpt4)-12.7%
GSM8K: 0.15 vs 96.4 (so35)-99.8%
LLME Score: 0.20687
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Aqua Smaug Hermes 8B Parameters and Internals
| Additional Notes |
|
| LLM Name | Aqua Smaug Hermes 8B |
| Repository 🤗 | https://huggingface.co/saucam/aqua-smaug-hermes-8B |
| Merged Model | Yes |
| Model Size | 8b |
| Required VRAM | 16 GB |
| Updated | 2025-02-22 |
| Maintainer | saucam |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| Vocabulary Size | 128296 |
| Torch Data Type | float16 |
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Note: green Score (e.g. "73.2") means that the model is better than saucam/aqua-smaug-hermes-8B .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227