Model Card on HF 🤗: https://huggingface.co/cepiloth/ko-llama2-finetune-ex4
Ko Llama2 Finetune Ex4 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)
Ko Llama2 Finetune Ex4 Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Ko Llama2 Finetune Ex4 |
| Repository 🤗 | https://huggingface.co/cepiloth/ko-llama2-finetune-ex4 |
| Required VRAM | 13.5 GB |
| Updated | 2025-10-03 |
| Maintainer | cepiloth |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|v_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
Best Alternatives to Ko Llama2 Finetune Ex4
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Asdf | 0K / 0.1 GB | 14 | 0 |
| MS32 3 | 0K / 1.5 GB | 6 | 0 |
| MS32 2 | 0K / 0.7 GB | 5 | 0 |
| Tinyllama Cpt | 0K / 0.5 GB | 6 | 0 |
| Fine Tune Sentimental Llama | 0K / 0 GB | 5 | 0 |
| VLM2Vec LoRA | 0K / 0 GB | 31 | 11 |
| QuietStar Project | 0K / GB | 8 | 2 |
| Finetuned Llava Lora | 0K / 0.1 GB | 5 | 0 |
| Alphace Email | 0K / 0.1 GB | 6 | 0 |
| Qwen7B Haiguitang | 0K / 15.3 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than cepiloth/ko-llama2-finetune-ex4 .
Rank the Ko Llama2 Finetune Ex4 Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 51545 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124