Model Card on HF 🤗: https://huggingface.co/beomi/KoAlpaca-65B-LoRA
KoAlpaca 65B LoRA 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)
KoAlpaca 65B LoRA Parameters and Internals
| Model Type |
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| Additional Notes |
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| Supported Languages |
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| Training Details |
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| LLM Name | KoAlpaca 65B LoRA |
| Repository 🤗 | https://huggingface.co/beomi/KoAlpaca-65B-LoRA |
| Model Size | 65b |
| Required VRAM | 0.1 GB |
| Updated | 2025-09-16 |
| Maintainer | beomi |
| Model Files | |
| Supported Languages | ko en |
| Model Architecture | Adapter |
| License | mit |
| 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 KoAlpaca 65B LoRA
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 |
| Alpaca Lora 65B En Pt Es Ca | 0K / 0.1 GB | 0 | 2 |
| Guanaco 65B | 0K / 3.2 GB | 0 | 88 |
| 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 |
Note: green Score (e.g. "73.2") means that the model is better than beomi/KoAlpaca-65B-LoRA .
Rank the KoAlpaca 65B LoRA Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124