Arxiv:1910.09700 4bit Adapter Base model:adapter:microsoft/o... Base model:microsoft/orca-2-7b Finetuned Lora Peft Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/praison/orca-2-7B-v01-fine-tuned-using-ludwig-4bit
Orca 2 7B V01 Fine Tuned Using Ludwig 4bit 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)
Orca 2 7B V01 Fine Tuned Using Ludwig 4bit Parameters and Internals
| LLM Name | Orca 2 7B V01 Fine Tuned Using Ludwig 4bit |
| Repository 🤗 | https://huggingface.co/praison/orca-2-7B-v01-fine-tuned-using-ludwig-4bit |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 0 GB |
| Updated | 2025-02-05 |
| Maintainer | praison |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | Adapter |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|q_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.05 |
| R Param | 8 |
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Note: green Score (e.g. "73.2") means that the model is better than praison/orca-2-7B-v01-fine-tuned-using-ludwig-4bit .
Rank the Orca 2 7B V01 Fine Tuned Using Ludwig 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227