Model Card on HF 🤗: https://huggingface.co/NLPark/B-and-W_Flycatcher-3AD1E
B And W Flycatcher 3AD1E Benchmarks
MMLU Pro: 41.56
GPQA: 10.74
MUSR: 13.88
BBH: 43.74
IFEval: 49.08 vs 88 (so35)-44.2%
MATH Lvl 5: 16.69
LLME Score: 0.31413
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)
B And W Flycatcher 3AD1E Parameters and Internals
| Model Type |
| |
| Supported Languages |
|
| LLM Name | B And W Flycatcher 3AD1E |
| Repository 🤗 | https://huggingface.co/NLPark/B-and-W_Flycatcher-3AD1E |
| Model Size | 14.8b |
| Required VRAM | 29.7 GB |
| Updated | 2024-12-22 |
| Maintainer | NLPark |
| Model Type | llama |
| Model Files | |
| Supported Languages | zh en |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 200000 |
| Model Max Length | 200000 |
| Transformers Version | 4.45.0.dev0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|pad0|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217