Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Moe Qwen2 moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/khoantap/moe-out-merge
MoE Out Merge Benchmarks
MMLU Pro: 26.09
GPQA: 5.15
MUSR: 11.45
BBH: 30.04
IFEval: 45.05 vs 88 (so35)-48.8%
MATH Lvl 5: 9.29
LLME Score: 0.26182
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)
MoE Out Merge Parameters and Internals
| LLM Name | MoE Out Merge |
| Repository 🤗 | https://huggingface.co/khoantap/moe-out-merge |
| Model Size | 19.3b |
| Required VRAM | 38.5 GB |
| Updated | 2025-09-16 |
| Maintainer | khoantap |
| Model Type | qwen2_moe |
| Model Files | |
| Model Architecture | Qwen2MoeForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.46.3 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|begin_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Best Alternatives to MoE Out Merge
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Cheap MoE Merge | 128K / 38.5 GB | 9 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than khoantap/moe-out-merge .
Rank the MoE Out Merge 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? 51544 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124