Model Card on HF 🤗: https://huggingface.co/twodgirl/Queen-1.4B
Queen 1.4B 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)
Queen 1.4B Parameters and Internals
| Model Type |
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| Additional Notes |
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| Input Output |
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| LLM Name | Queen 1.4B |
| Repository 🤗 | https://huggingface.co/twodgirl/Queen-1.4B |
| Model Size | 1.4b |
| Required VRAM | 0 GB |
| Updated | 2025-02-22 |
| Maintainer | twodgirl |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Adapter |
| Is Biased | none |
| Tokenizer Class | GPTNeoXTokenizer |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | query_key_value |
| LoRA Alpha | 8 |
| LoRA Dropout | 0.05 |
| R Param | 6 |
Best Alternatives to Queen 1.4B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...lish Sentences Translation Bot | 0K / 5.7 GB | 5 | 0 |
| Phi 1 5 Finetuned Bangla Bot | 0K / 5.7 GB | 6 | 0 |
| Phi 1 5 Finetuned Doctor Bot | 0K / 5.7 GB | 6 | 0 |
| Phi 1 5 Finetuned Gsm8k | 0K / 5.7 GB | 10 | 1 |
| Myanmar GPT Health Faq | 0K / 1.6 GB | 17 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than twodgirl/Queen-1.4B .
Rank the Queen 1.4B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227