Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Moe Qwen2 moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/HectorHe/Qwen1.5-MOE-sft-math7k
Qwen1.5 MoE Sft Math7k 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)
Qwen1.5 MoE Sft Math7k Parameters and Internals
| LLM Name | Qwen1.5 MoE Sft Math7k |
| Repository 🤗 | https://huggingface.co/HectorHe/Qwen1.5-MOE-sft-math7k |
| Model Size | 14.3b |
| Required VRAM | 57.3 GB |
| Updated | 2025-09-17 |
| Maintainer | HectorHe |
| Model Type | qwen2_moe |
| Model Files | |
| Model Architecture | Qwen2MoeForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.52.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to Qwen1.5 MoE Sft Math7k
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen1.5 MoE A2.7B Chat | 32K / 28.7 GB | 31827 | 125 |
| Qwen1.5 MoE A2.7B | 8K / 28.7 GB | 46345 | 206 |
| ...Aux Free Sft Math7k 1e 3 Gamma | 8K / 28.7 GB | 5 | 1 |
| Qwen1.5 MoE A2.7B Wikihow | 8K / 28.7 GB | 10 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than HectorHe/Qwen1.5-MOE-sft-math7k .
Rank the Qwen1.5 MoE Sft Math7k Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124