128k context 2 active experts 4 experts Autotrain compatible Base model:getsolotech/qwen3-c... Base model:menlo/jan-nano-128k Base model:merge:getsolotech/q... Base model:merge:menlo/jan-nan... Base model:merge:polaris-proje... Base model:merge:prithivmlmods... Base model:polaris-project/pol... Base model:prithivmlmods/crux-... Chat Code Code generation Codegen Codeqwen Coder Coding Conversational De En Endpoints compatible Finetuned Fr Instruct Merge Mixture of experts Moe Qwen Qwen-coder Qwen2 Qwen3 Qwen3 moe Region:us Safetensors Sharded Tensorflow Zh
Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen3-MOE-4x4B-16B-Jan-Polaris-Instruct-Power-House
Qwen3 MoE 4x4B 16B Jan Polaris Instruct Power House Benchmarks
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)
Qwen3 MoE 4x4B 16B Jan Polaris Instruct Power House Parameters and Internals
| LLM Name | Qwen3 MoE 4x4B 16B Jan Polaris Instruct Power House |
| Repository 🤗 | https://huggingface.co/DavidAU/Qwen3-MOE-4x4B-16B-Jan-Polaris-Instruct-Power-House |
| Base Model(s) | |
| Model Size | 12.1b |
| Required VRAM | 24.3 GB |
| Updated | 2025-08-26 |
| Maintainer | DavidAU |
| Model Type | qwen3_moe |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en fr zh de |
| Model Architecture | Qwen3MoeForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.55.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Rank the Qwen3 MoE 4x4B 16B Jan Polaris Instruct Power House Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124