Arxiv:1910.09700 Autotrain compatible Base model:finetune:sakalti/sj... Base model:sakalti/sjt-0.5b Conversational En Endpoints compatible Instruct Ja Moe Qwen2 moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/SakaMoe-3x1.6B-Instruct
SakaMoe 3x1.6B Instruct Benchmarks
MMLU Pro: 9.81
GPQA: 2.24
MUSR: 0.94
BBH: 7.53
IFEval: 23.71 vs 88 (so35)-73.1%
MATH Lvl 5: 5.44
LLME Score: 0.20474
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)
SakaMoe 3x1.6B Instruct Parameters and Internals
| LLM Name | SakaMoe 3x1.6B Instruct |
| Repository 🤗 | https://huggingface.co/Sakalti/SakaMoe-3x1.6B-Instruct |
| Base Model(s) | |
| Model Size | 1.6b |
| Required VRAM | 3.1 GB |
| Updated | 2025-08-27 |
| Maintainer | Sakalti |
| Model Type | qwen2_moe |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en ja |
| Model Architecture | Qwen2MoeForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.48.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float16 |
| Errors | replace |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124