Model Card on HF 🤗: https://huggingface.co/aklein4/Qwen2-0.5B-tldr-sft
Qwen2 0.5B Tldr Sft 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 0.5B Tldr Sft Parameters and Internals
| LLM Name | Qwen2 0.5B Tldr Sft |
| Repository 🤗 | https://huggingface.co/aklein4/Qwen2-0.5B-tldr-sft |
| Model Size | 0.5b |
| Required VRAM | 2 GB |
| Updated | 2024-12-21 |
| Maintainer | aklein4 |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.41.2 |
| Vocabulary Size | 151936 |
| Torch Data Type | float32 |
Best Alternatives to Qwen2 0.5B Tldr Sft
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Reader Lm 0.5B | 250K / 1 GB | 669 | 127 |
| Qwen2 0.5B | 128K / 1 GB | 1504690 | 119 |
| ...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 | 31 | 0 |
| ECE PRYMMAL 0.5B FT V4 MUSR | 128K / 2 GB | 26 | 0 |
| Qwen2 0.5B | 128K / 1 GB | 3438 | 2 |
| ...0.5B FT EnhancedMUSREnsembleV3 | 128K / 1 GB | 26 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than aklein4/Qwen2-0.5B-tldr-sft .
Rank the Qwen2 0.5B Tldr Sft Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217