Adapter Base model:adapter:meta-llama/... Base model:meta-llama/meta-lla... Dataset:generator Finetuned Generated from trainer Lora Peft Region:us Safetensors Sft Tensorboard Trl
Model Card on HF 🤗: https://huggingface.co/frankmorales2020/Meta-Llama-3-8B_AviationQA-cosine
Meta Llama 3 8B AviationQA Cosine 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)
Meta Llama 3 8B AviationQA Cosine Parameters and Internals
| Training Details |
|
| LLM Name | Meta Llama 3 8B AviationQA Cosine |
| Repository 🤗 | https://huggingface.co/frankmorales2020/Meta-Llama-3-8B_AviationQA-cosine |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 1.3 GB |
| Updated | 2025-06-01 |
| Maintainer | frankmorales2020 |
| Model Files | |
| Model Architecture | Adapter |
| License | llama3 |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | down_proj|up_proj|o_proj|v_proj|q_proj|k_proj|gate_proj |
| LoRA Alpha | 128 |
| LoRA Dropout | 0.05 |
| R Param | 256 |
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| Llama 3.1 8B Smart Lora | 0K / 0.2 GB | 0 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than frankmorales2020/Meta-Llama-3-8B_AviationQA-cosine .
Rank the Meta Llama 3 8B AviationQA Cosine Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227