Alpaca Lora 65B En Pt Es Ca Benchmarks
ARC: 65.02 vs 96.7 (so35)-32.8%
HellaSwag: 84.88 vs 95.3 (gpt4)-10.9%
MMLU: 62.19 vs 88.3 (so35)-29.6%
TruthfulQA: 46.06 vs 59 (gpt4)-21.9%
WinoGrande: 80.51 vs 87.5 (gpt4)-8%
GSM8K: 26.69 vs 96.4 (so35)-72.3%
LLME Score: 0.12332
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 65B En Pt Es Ca Parameters and Internals
| LLM Name | Alpaca Lora 65B En Pt Es Ca |
| Repository 🤗 | https://huggingface.co/HiTZ/alpaca-lora-65b-en-pt-es-ca |
| Model Size | 65b |
| Required VRAM | 0.1 GB |
| Updated | 2024-09-18 |
| Maintainer | HiTZ |
| Model Files | |
| 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 65B En Pt Es Ca
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...os 65B Gpt4 1.4.1 PI 8192 Peft | 0K / 1.6 GB | 0 | 1 |
| Enterredaas 65B QLoRA | 0K / 1.6 GB | 0 | 4 |
| Guanaco 65B | 0K / 3.2 GB | 0 | 87 |
| Saiga 65b Lora | 0K / 0.3 GB | 0 | 6 |
| VicUnlocked Alpaca 65B QLoRA | 0K / 1.6 GB | 0 | 16 |
| Qlora Self Instruct 65B | 0K / 3.2 GB | 0 | 2 |
| Qlora Flan 65B | 0K / 3.2 GB | 0 | 1 |
| Alpaca Lora 65B | 0K / 0.1 GB | 0 | 25 |
| Alpaca 65B | 0K / 0.1 GB | 0 | 17 |
| KoAlpaca 65B LoRA | 0K / 0.1 GB | 0 | 12 |
Note: green Score (e.g. "73.2") means that the model is better than HiTZ/alpaca-lora-65b-en-pt-es-ca .
Rank the Alpaca Lora 65B En Pt Es Ca Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803