LLM Name | Phi 3 Mini 4K Instruct Ru Lora |
Repository ๐ค | https://huggingface.co/sikoraaxd/Phi-3-mini-4k-instruct-ru-lora |
Base Model(s) | |
Required VRAM | 0.1 GB |
Updated | 2024-09-03 |
Maintainer | sikoraaxd |
Instruction-Based | Yes |
Model Files | |
Supported Languages | ru |
Model Architecture | Adapter |
License | mit |
Model Max Length | 2048 |
Is Biased | none |
Tokenizer Class | LlamaTokenizer |
Padding Token | <unk> |
PEFT Type | LORA |
LoRA Model | Yes |
PEFT Target Modules | down_proj|o_proj|qkv_proj|gate_up_proj |
LoRA Alpha | 32 |
LoRA Dropout | 0.05 |
R Param | 16 |
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 |
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 |
Phi 3 Mini 4K Instruct Sft | 0K / 0 GB | 5 | 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