Qwen2.5 1.5B Benchmarks
MMLU Pro: 17.29
MUSR: 4.24
BBH: 16.44
IFEval: 42.53 vs 88 (so35)-51.7%
MATH Lvl 5: 0.6
LLME Score: 0.41799
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)
Qwen2.5 1.5B Parameters and Internals
| LLM Name | Qwen2.5 1.5B |
| Repository 🤗 | https://huggingface.co/Qwen/Qwen2.5-1.5B |
| Model Size | 1.5b |
| Required VRAM | 3.1 GB |
| Updated | 2024-10-04 |
| Maintainer | Qwen |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen2.5 1.5B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Reader Lm 1.5B | 250K / 3.1 GB | 10206 | 415 |
| Qwen2 1.5B | 128K / 3.1 GB | 97350 | 74 |
| Stella En 1.5B V5 | 128K / 6.2 GB | 63779 | 112 |
| Gte Qwen2 1.5B Instruct | 128K / 7.1 GB | 54944 | 104 |
| Replete Coder Qwen2 1.5B | 128K / 3.1 GB | 235 | 23 |
| MedVi Chat 1.5B | 128K / 3.1 GB | 569 | 0 |
| SeaLLMs V3.1.5B Chat | 128K / 3.1 GB | 3295 | 9 |
| SeaLLMs V3.1.5B | 128K / 6.2 GB | 614 | 5 |
| Medvi Chat 1.5B | 128K / 3.1 GB | 17 | 0 |
| Qwen2 1.5B | 128K / 3.1 GB | 703 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-1.5B .
Rank the Qwen2.5 1.5B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803