LLM Name | FatDPOv2LoRA |
Repository ๐ค | https://huggingface.co/FourOhFour/FatDPOv2LoRA |
Base Model(s) | |
Model Size | 8b |
Required VRAM | 0.8 GB |
Updated | 2024-12-21 |
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 |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
... 3 8B Instruct Bvr Finetune V3 | 8K / 16.1 GB | 5 | 0 |
Flippa V6 | 0K / 0 GB | 11 | 1 |
Llama 3 Korean 8B R V 0.1 | 0K / 0 GB | 9 | 0 |
...ultiModal Llama 3 8B Finetuned | 0K / 0 GB | 20 | 1 |
...lama 3 1 8B Instruct Orca ORPO | 0K / 0.1 GB | 131 | 2 |
...ight AGI Llama3.1 8B UC200k V2 | 0K / 0.2 GB | 88 | 2 |
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 | 29 | 2 |
๐ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐