Model Card on HF 🤗: https://huggingface.co/alibaba-pai/DistilQwen2.5-7B-Instruct
DistilQwen2.5 7B Instruct 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)
DistilQwen2.5 7B Instruct Parameters and Internals
| LLM Name | DistilQwen2.5 7B Instruct |
| Repository 🤗 | https://huggingface.co/alibaba-pai/DistilQwen2.5-7B-Instruct |
| Model Size | 7b |
| Required VRAM | 28.3 GB |
| Updated | 2025-06-01 |
| Maintainer | alibaba-pai |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen2Model |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.48.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to DistilQwen2.5 7B Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Nomic Embed Code | 32K / 28.3 GB | 1908 | 68 |
Note: green Score (e.g. "73.2") means that the model is better than alibaba-pai/DistilQwen2.5-7B-Instruct .
Rank the DistilQwen2.5 7B Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227