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 | 2024-09-06 |
| 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 | 2314 | 116 |
| Qwen2 0.5B | 128K / 1 GB | 464522 | 100 |
| Qwen2 0.5B | 128K / 1 GB | 3126 | 2 |
| Qwen2 0.5B Abyme Merge3 | 128K / 1.3 GB | 6 | 0 |
| Qwen2 0.5B Abyme Merge2 | 128K / 0.3 GB | 6 | 0 |
| Qwen2 Wukong 0.5B | 128K / 1.3 GB | 3 | 6 |
| Qwen2 0.5B Fncl 2 | 128K / 1 GB | 219 | 0 |
| Qwen2 0.5B Fncl | 128K / 1 GB | 14 | 2 |
| Dolphin 2.9.3 Qwen2 0.5B | 128K / 1 GB | 36 | 5 |
| Tag2prompt Qwen2 0.5B V0.1 | 128K / 1 GB | 12 | 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 v2024072803