Autotrain compatible Conversational Custom code Endpoints compatible Model-index Phi3 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/dnhkng/RYS-Medium
RYS Medium Benchmarks
MMLU Pro: 36.96
GPQA: 10.4
MUSR: 8.73
BBH: 47.73
IFEval: 44.06 vs 88 (so35)-49.9%
MATH Lvl 5: 10.8
LLME Score: 0.28176
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)
RYS Medium Parameters and Internals
| LLM Name | RYS Medium |
| Repository 🤗 | https://huggingface.co/dnhkng/RYS-Medium |
| Model Size | 18.7b |
| Required VRAM | 37.7 GB |
| Updated | 2025-02-22 |
| Maintainer | dnhkng |
| Model Type | phi3 |
| Model Files | |
| Model Architecture | Phi3ForCausalLM |
| License | mit |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 32064 |
| Torch Data Type | bfloat16 |
Rank the RYS Medium Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227