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jjjssjs/Llama-VARCO-8B-Instruct-GGUF
Llama-VARCO-8B-Instruct-GGUF is a machine learning model from jjjssjs. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama3.1.
Llama-VARCO-8B-Instruct is a generative model built with Llama, specifically designed to excel in Korean through additional training. The model uses continual pre-training with both Korean and English datasets to enha…
Downloads · 30 days
38
2% of all-time downloads
All-time downloads
2.1K
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Repo size
24.6 GB
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9
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.gguf24.6 GB · 100%
From the Hugging Face model README
Llama-VARCO-8B-Instruct is a generative model built with Llama, specifically designed to excel in Korean through additional training. The model uses continual pre-training with both Korean and English datasets to enhance its understanding and generation capabilites in Korean, while also maintaining its proficiency in English. It performs supervised fine-tuning (SFT) and direct preference optimization (DPO) in Korean to align with human preferences.
We used the LogicKor code to measure performance. For the judge model, we used the officially recommended gpt-4-1106-preview. The score includes only the 0-shot evaluation provided in the default.
| Model | Math | Reasoning | Writing | Coding | Understanding | Grammer | Single turn | Multi turn | Overall |
|---|---|---|---|---|---|---|---|---|---|
| Llama-VARCO-8B-Instruct | 6.71 / 8.57 | 8.86 / 8.29 | 9.86 / 9.71 | 8.86 / 9.29 | 9.29 / 10.0 | 8.57 / 7.86 | 8.69 | 8.95 | 8.82 |
| EXAONE-3.0-7.8B-Instruct | 6.86 / 7.71 | 8.57 / 6.71 | 10.0 / 9.29 | 9.43 / 10.0 | 10.0 / 10.0 | 9.57 / 5.14 | 9.07 | 8.14 | 8.61 |
| Meta-Llama-3.1-8B-Instruct | 4.29 / 4.86 | 6.43 / 6.57 | 6.71 / 5.14 | 6.57 / 6.00 | 4.29 / 4.14 | 6.00 / 4.00 | 5.71 | 5.12 | 5.42 |
| Gemma-2-9B-Instruct | 6.14 / 5.86 | 9.29 / 9.0 | 9.29 / 8.57 | 9.29 / 9.14 | 8.43 / 8.43 | 7.86 / 4.43 | 8.38 | 7.57 | 7.98 |
| Qwen2-7B-Instruct | 5.57 / 4.86 | 7.71 / 6.43 | 7.43 / 7.00 | 7.43 / 8.00 | 7.86 / 8.71 | 6.29 / 3.29 | 7.05 | 6.38 | 6.71 |