LLM Name | Phi 3 Mini 4K Instruct Sft |
Repository ๐ค | https://huggingface.co/StefanKrsteski/Phi-3-mini-4k-instruct-sft |
Base Model(s) | |
Required VRAM | 0 GB |
Updated | 2024-08-15 |
Maintainer | StefanKrsteski |
Instruction-Based | Yes |
Model Files | |
Model Architecture | Adapter |
Model Max Length | 4096 |
Is Biased | none |
Tokenizer Class | LlamaTokenizer |
Padding Token | <|endoftext|> |
PEFT Type | LORA |
LoRA Model | Yes |
PEFT Target Modules | up_proj|q_proj|k_proj|gate_proj|down_proj|o_proj|v_proj |
LoRA Alpha | 32 |
LoRA Dropout | 0.1 |
R Param | 64 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
Test | 0K / 0 GB | 5 | 0 |
Vfgf | 0K / 0 GB | 5 | 0 |
Results | 0K / 0 GB | 5 | 0 |
Phi 3 Mini QLoRA | 0K / 0 GB | 164 | 0 |
Phi 3 Mini 4K Instruct Ru Lora | 0K / 0.1 GB | 26 | 0 |
Results Phi3 Medium 4k | 0K / 0.1 GB | 6 | 0 |
Results | 0K / 0.1 GB | 6 | 0 |
Phi3AdapterModel | 0K / 0.1 GB | 6 | 0 |
Phi 3 Mini 4K Instruct Sft CoT | 0K / 0.1 GB | 6 | 0 |
Phi3 Mini 4K Qlora Adapter | 0K / 0 GB | 31 | 0 |
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