Arxiv:1910.09700 Adapter Base model:adapter:fourohfour/... Base model:fourohfour/fatgirl ... Finetuned Lora Peft Region:us Safetensors
FatDPOv2LoRA 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)
FatDPOv2LoRA Parameters and Internals
| LLM Name | FatDPOv2LoRA |
| Repository 🤗 | https://huggingface.co/FourOhFour/FatDPOv2LoRA |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 0.8 GB |
| Updated | 2024-11-21 |
| Maintainer | FourOhFour |
| Model Files | |
| Model Architecture | Adapter |
| Model Max Length | 8192 |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <pad> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | gate_proj|up_proj|q_proj|v_proj|down_proj|o_proj|k_proj |
| LoRA Alpha | 64 |
| LoRA Dropout | 0 |
| R Param | 64 |
Best Alternatives to FatDPOv2LoRA
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... 3 8B Instruct Bvr Finetune V3 | 8K / 16.1 GB | 5 | 0 |
| Adapter Test | 0K / 0.1 GB | 6 | 0 |
| Llama3 C1 Full | 0K / 0.2 GB | 13 | 0 |
| Vortex2 | 0K / 4.4 GB | 8 | 0 |
| Fireball 3.1 8B ORPO | 0K / 16.1 GB | 6 | 2 |
| FineLlama3.1 8B Instruct Lora | 0K / 0.2 GB | 0 | 1 |
| Llama3 8B Instruct Code | 0K / 0.2 GB | 9 | 1 |
| Llama 3 8B Claudstruct V3 | 0K / 0.1 GB | 9 | 0 |
| Llama 3 8B Instruct 80K QLoRA | 0K / 2.2 GB | 0 | 24 |
| Llama 3 8B Claudstruct V1 | 0K / 0.1 GB | 6 | 0 |
Rank the FatDPOv2LoRA Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110