Model Card on HF 🤗: https://huggingface.co/lordspline/qwen-pruned-165m-medium
Qwen Pruned 165M Medium 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)
Qwen Pruned 165M Medium Parameters and Internals
| LLM Name | Qwen Pruned 165M Medium |
| Repository 🤗 | https://huggingface.co/lordspline/qwen-pruned-165m-medium |
| Model Size | 165m |
| Required VRAM | 0 GB |
| Updated | 2025-02-22 |
| Maintainer | lordspline |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.41.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|padding|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to Qwen Pruned 165M Medium
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen Pruned 165M | 128K / 0.3 GB | 135 | 0 |
| Qwen Pruned 165M Sft | 128K / 0 GB | 134 | 0 |
Rank the Qwen Pruned 165M Medium Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227