Alpaca Lora 13B 4bit 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)
Alpaca Lora 13B 4bit Parameters and Internals
| LLM Name | Alpaca Lora 13B 4bit |
| Repository 🤗 | https://huggingface.co/kuleshov/alpaca-lora-13b-4bit |
| Model Size | 13b |
| Required VRAM | 0 GB |
| Updated | 2024-09-19 |
| Maintainer | kuleshov |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | Adapter |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|v_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.05 |
| R Param | 8 |
Best Alternatives to Alpaca Lora 13B 4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Storytelling V2 13B Lora | 0K / 0.5 GB | 1 | 7 |
| Lmg V3 Lora | 0K / 0.5 GB | 0 | 2 |
| Storytelling V1 13B Lora | 0K / 0.5 GB | 3 | 6 |
| Minotaur Llama2 13B Qlora | 0K / 1 GB | 3 | 4 |
| Llama 13B 4bit Alpaca | 0K / 0.1 GB | 1 | 1 |
| Llama 2 13B 4bit Alpaca Gpt4 | 0K / 0 GB | 4 | 2 |
| Alpaca1337 13B 4bit | 0K / 0 GB | 0 | 4 |
| LLaMA2 13B Stop Hate | 0K / 0.5 GB | 40 | 1 |
| ...10 2024 06 23 06 24 24 3558635 | 0K / 0.8 GB | 6 | 0 |
| ...10 2024 06 22 21 11 23 3558624 | 0K / 0.8 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than kuleshov/alpaca-lora-13b-4bit .
Rank the Alpaca Lora 13B 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803