Model Card on HF 🤗: https://huggingface.co/GAI-LLM/myungdonggil_s5
Myungdonggil S5 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)
Myungdonggil S5 Parameters and Internals
| LLM Name | Myungdonggil S5 |
| Repository 🤗 | https://huggingface.co/GAI-LLM/myungdonggil_s5 |
| Model Size | 10.8b |
| Required VRAM | 43.2 GB |
| Updated | 2025-09-24 |
| Maintainer | GAI-LLM |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.31.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 43899 |
| Torch Data Type | float32 |
Best Alternatives to Myungdonggil S5
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Korean Instruct 10.8B V1.0 32K | 32K / 21.6 GB | 9 | 10 |
| EEVE Korean 10.8B V1.0 16K | 16K / 21.6 GB | 5 | 0 |
| ...EVE Korean Instruct 10.8B V1.0 | 4K / 21.6 GB | 9491 | 160 |
| ...anoljaNEXT EEVE Instruct 10.8B | 4K / 21.6 GB | 8640 | 162 |
| ...Judgment Transducer 10.8B V2.0 | 4K / 21.6 GB | 5 | 0 |
| EEVE Korean Medical 10.8B | 4K / 21.6 GB | 6 | 0 |
| EEVE Korean 10.8B RAFT | 4K / 43.2 GB | 8 | 0 |
| T3Q LLM TE NLI Lora16 32 V1.0 | 4K / 21.6 GB | 5 | 1 |
| T3Q LLM TE NLI Lora16 V1.0 | 4K / 21.6 GB | 10 | 2 |
| T3Q LLM TE NLI Dora4 V1.0 | 4K / 21.6 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than GAI-LLM/myungdonggil_s5 .
Rank the Myungdonggil S5 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124