Model Type |
| |
Additional Notes |
|
LLM Name | Dre Phi |
Repository ๐ค | https://huggingface.co/empgces/dre_phi |
Base Model(s) | |
Required VRAM | 7.6โฏGB |
Updated | 2025-01-04 |
Maintainer | empgces |
Instruction-Based | Yes |
Model Files | |
Supported Languages | en |
Quantization Type | 4bit |
Model Architecture | AutoModelForCausalLM |
License | apache-2.0 |
Model Max Length | 4096 |
Is Biased | none |
Tokenizer Class | LlamaTokenizer |
Padding Token | <unk> |
PEFT Type | LORA |
LoRA Model | Yes |
PEFT Target Modules | up_proj|v_proj|q_proj|gate_proj|down_proj|o_proj|k_proj |
LoRA Alpha | 32 |
LoRA Dropout | 0 |
R Param | 32 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
...emo Instruct 2407 EXL2 8bpw H8 | 0K / 12.6โGB | 11 | 6 |
Phi 3 Mini 4K CodeInstruct | 0K / 7.6โGB | 24 | 0 |
...3 Mini 4K Instruct Text To Sql | 0K / 7.6โGB | 16 | 0 |
Phi 3 Mini 4K Python | 0K / 7.6โGB | 124 | 0 |
VLM2Vec LoRA | 0K / 0โGB | 86 | 7 |
Pipi | 0K / 2.4โGB | 13 | 0 |
... Mini 4K Instruct Chinese Lora | 0K / 0โGB | 28 | 6 |
Falcon Camel Math Instruct | 0K / 0โGB | 15 | 1 |
Instruct Igel 001 | 0K / 12.9โGB | 27 | 47 |
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