Model Card on HF 🤗: https://huggingface.co/ehristoforu/tmoe
Tmoe Benchmarks
MMLU Pro: 2.12
MUSR: 3.9
BBH: 3.2
IFEval: 11.93 vs 88 (so35)-86.4%
MATH Lvl 5: 0.76
LLME Score: 0.24996
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)
Tmoe Parameters and Internals
| LLM Name | Tmoe |
| Repository 🤗 | https://huggingface.co/ehristoforu/tmoe |
| Model Size | 1.5b |
| Required VRAM | 22.1 GB |
| Updated | 2025-03-13 |
| Maintainer | ehristoforu |
| Model Type | qwen2_moe |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en ru |
| Model Architecture | Qwen2MoeForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.48.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227