Model Card on HF 🤗: https://huggingface.co/sumink/Qwenmplus
Qwenmplus Benchmarks
MMLU Pro: 11.02
GPQA: 4.7
MUSR: 5.02
BBH: 12.71
IFEval: 20.4 vs 88 (so35)-76.8%
MATH Lvl 5: 3.02
LLME Score: 0.28343
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)
Qwenmplus Parameters and Internals
| LLM Name | Qwenmplus |
| Repository 🤗 | https://huggingface.co/sumink/Qwenmplus |
| Model Size | 1.5b |
| Required VRAM | 6.2 GB |
| Updated | 2025-01-20 |
| Maintainer | sumink |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | other |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.47.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 151666 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to Qwenmplus
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ReaderLM V2 | 500K / 3.5 GB | 2640 | 275 |
| Reader Lm 1.5B | 250K / 3.1 GB | 20065 | 573 |
| Qwen2.5 1.5B | 128K / 3.1 GB | 67013 | 55 |
| Stella En 1.5B V5 | 128K / 6.2 GB | 594588 | 206 |
| NxMobileLM 1.5B SFT | 128K / 3.1 GB | 23 | 2 |
| Qwen2 1.5B | 128K / 3.1 GB | 28594 | 83 |
| Gte Qwen2 1.5B Instruct | 128K / 7.1 GB | 176329 | 155 |
| SJT 1.5B Alpha 1.1 | 128K / 3.6 GB | 9 | 0 |
| Saba1 1.8B | 128K / 3.6 GB | 250 | 0 |
| Alpaca Data Ifd Min 2600 | 128K / 3.1 GB | 15 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than sumink/Qwenmplus .
Rank the Qwenmplus Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227