Model Card on HF 🤗: https://huggingface.co/liangshuxin/qwen05b_ourmodel
Qwen05b Ourmodel 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)
Qwen05b Ourmodel Parameters and Internals
| LLM Name | Qwen05b Ourmodel |
| Repository 🤗 | https://huggingface.co/liangshuxin/qwen05b_ourmodel |
| Model Size | 0.5b |
| Required VRAM | 2 GB |
| Updated | 2025-07-02 |
| Maintainer | liangshuxin |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.40.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to Qwen05b Ourmodel
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Reader Lm 0.5B | 250K / 1 GB | 1795 | 141 |
| Qwen2 0.5B | 128K / 1 GB | 111606 | 152 |
| Qwen2 0.5B Stf Imdb | 128K / 1 GB | 9 | 0 |
| ...PRYMMAL 0.5B FT V4 MUSR Mathis | 128K / 1 GB | 62 | 1 |
| ...0.5B FT EnhancedMUSREnsembleV3 | 128K / 1 GB | 32 | 1 |
| ....5B FT V4 MUSR ENSEMBLE Mathis | 128K / 2 GB | 30 | 1 |
| ...0.5B FT MUSR ENSEMBLE V2Mathis | 128K / 1 GB | 25 | 0 |
| ECE PRYMMAL 0.5B FT V3 MUSR | 128K / 2 GB | 13 | 0 |
| ...44 45ee 44f3 934d Ddc8b6e082f1 | 128K / 1 GB | 14 | 0 |
| ...wen199f16 Merged FinetunedByAG | 128K / 1 GB | 18 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than liangshuxin/qwen05b_ourmodel .
Rank the Qwen05b Ourmodel Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124