Arxiv:2309.00071 Arxiv:2412.15115 Autotrain compatible Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b Conversational Dataset:open-r1/mixture-of-tho... En Endpoints compatible Math Moe Qwen3 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Nenque-MoT-0.6B-Elite14
Nenque MoT 0.6B Elite14 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)
Nenque MoT 0.6B Elite14 Parameters and Internals
| LLM Name | Nenque MoT 0.6B Elite14 |
| Repository 🤗 | https://huggingface.co/prithivMLmods/Nenque-MoT-0.6B-Elite14 |
| Base Model(s) | |
| Model Size | 0.6b |
| Required VRAM | 1.2 GB |
| Updated | 2025-06-17 |
| Maintainer | prithivMLmods |
| Model Type | qwen3 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen3ForCausalLM |
| License | apache-2.0 |
| Context Length | 40960 |
| Model Max Length | 40960 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to Nenque MoT 0.6B Elite14
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen3 Reranker 0.6B | 40K / 1.2 GB | 36581 | 124 |
| OuteTTS 1.0 0.6B | 40K / 1.2 GB | 4366 | 82 |
| Qwen3 0.6B FP8 | 40K / 1.1 GB | 4775 | 45 |
| Qwen3 0.6B | 40K / 1.2 GB | 18814 | 7 |
| Qwen3 0.6B Bf16 | 40K / 1.2 GB | 2560 | 5 |
| Qwen3 0.6B Medical Expert | 40K / 1.2 GB | 1422 | 3 |
| Qwen3 0.6B Abliterated | 40K / 1.2 GB | 1490 | 7 |
| ...fied Qwen3 0.6B Abliterated V1 | 40K / 1.2 GB | 1296 | 3 |
| Smoothie Qwen3 0.6B | 40K / 1.2 GB | 1219 | 1 |
| SFT DART | 40K / 1.2 GB | 60 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Nenque-MoT-0.6B-Elite14 .
Rank the Nenque MoT 0.6B Elite14 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124