Model Card on HF 🤗: https://huggingface.co/rachelhe/layman_summary
Layman Summary 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)
Layman Summary Parameters and Internals
| LLM Name | Layman Summary |
| Repository 🤗 | https://huggingface.co/rachelhe/layman_summary |
| Model Size | 5b |
| Required VRAM | 0.9 GB |
| Updated | 2025-08-26 |
| Maintainer | rachelhe |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Layman Summary
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| XinYuan Qwen2 1 5B | 128K / 3.5 GB | 4 | 1 |
| A1B2C3D4 | 128K / 1 GB | 56 | 0 |
| Qwerty2 0 5B Ft2 | 128K / 1 GB | 26 | 0 |
| MindChat Qwen2 0 5B | 32K / 1.2 GB | 45 | 2 |
| ...eirogen 1 5b Q4 0 Gguf Chunked | 128K / 0.1 GB | 11 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than rachelhe/layman_summary .
Rank the Layman Summary Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124