Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b En Endpoints compatible Qwen2 Region:us Safetensors Unsloth
Qwen2.5 0.5B 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)
Qwen2.5 0.5B Parameters and Internals
| LLM Name | Qwen2.5 0.5B |
| Repository 🤗 | https://huggingface.co/unsloth/Qwen2.5-0.5B |
| Base Model(s) | |
| Model Size | 0.5b |
| Required VRAM | 1 GB |
| Updated | 2024-10-04 |
| Maintainer | unsloth |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|PAD_TOKEN|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen2.5 0.5B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Reader Lm 0.5B | 250K / 1 GB | 3631 | 109 |
| Qwen2 0.5B | 128K / 1 GB | 991213 | 98 |
| Qwen2 0.5B | 128K / 1 GB | 3275 | 2 |
| Qwen2 0.5B Abyme Merge3 | 128K / 1.3 GB | 7 | 0 |
| Qwen2 0.5B Abyme Merge2 | 128K / 0.3 GB | 5 | 0 |
| Qwen2 Wukong 0.5B | 128K / 1.3 GB | 4 | 6 |
| Qwen2 0.5B Fncl 2 | 128K / 1 GB | 219 | 0 |
| Qwen2 0.5B Fncl | 128K / 1 GB | 8 | 2 |
| Qwen2 0.5B Tldr Sft | 128K / 2 GB | 5 | 0 |
| LawToken 0.5B A2 | 128K / 2 GB | 34 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-0.5B .
Rank the Qwen2.5 0.5B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803