Model Card on HF 🤗: https://huggingface.co/mddokmak/MNLPQuantized
MNLPQuantized 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)
MNLPQuantized Parameters and Internals
| LLM Name | MNLPQuantized |
| Repository 🤗 | https://huggingface.co/mddokmak/MNLPQuantized |
| Model Size | 774.4m |
| Required VRAM | 0.1 GB |
| Updated | 2025-02-22 |
| Maintainer | mddokmak |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| Model Max Length | 1024 |
| Is Biased | none |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|endoftext|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | c_attn |
| LoRA Alpha | 128 |
| LoRA Dropout | 0.05 |
| R Param | 128 |
Rank the MNLPQuantized Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227