Aura Llama3 Benchmarks
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)
Aura Llama3 Parameters and Internals
| LLM Name | Aura Llama3 |
| Repository 🤗 | https://huggingface.co/ResplendentAI/Aura_Llama3 |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 0.2 GB |
| Updated | 2024-11-21 |
| Maintainer | ResplendentAI |
| Model Files | |
| Model Architecture | Adapter |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|q_proj |
| LoRA Alpha | 128 |
| LoRA Dropout | 0.05 |
| R Param | 128 |
Best Alternatives to Aura Llama3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... 3 8B Instruct Bvr Finetune V3 | 8K / 16.1 GB | 5 | 0 |
| FatDPOv2LoRA | 0K / 0.8 GB | 3 | 1 |
| Adapter Test | 0K / 0.1 GB | 6 | 0 |
| Llama3 C1 Full | 0K / 0.2 GB | 13 | 0 |
| Vortex2 | 0K / 4.4 GB | 8 | 0 |
| Fireball 3.1 8B ORPO | 0K / 16.1 GB | 6 | 2 |
| FineLlama3.1 8B Instruct Lora | 0K / 0.2 GB | 0 | 1 |
| Llama3 8B Instruct Code | 0K / 0.2 GB | 9 | 1 |
| Llama 3 8B Claudstruct V3 | 0K / 0.1 GB | 9 | 0 |
| Llama 3 8B Instruct 80K QLoRA | 0K / 2.2 GB | 0 | 24 |
Note: green Score (e.g. "73.2") means that the model is better than ResplendentAI/Aura_Llama3 .
Rank the Aura Llama3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110