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Torchlight Phi4 Mini Lora by samadpls

By samadpls · 54 downloads

Torchlight Phi4 Mini Lora is an open-source language model by samadpls. Features: LLM, License: mit, Instruction-Based.

  Adapter Base model:adapter:microsoft/p... Base model:microsoft/phi-4-min...   Code Dataset:samadpls/torchlight-th...   Debugging   En   Finetuned   Instruct   Lora   Mlx   Peft   Phi3   Pytorch   Region:us   Safetensors

Torchlight Phi4 Mini Lora Parameters and Internals

LLM NameTorchlight Phi4 Mini Lora
Repository πŸ€—https://huggingface.co/samadpls/torchlight-phi4-mini-lora 
Base Model(s)  Phi 4 Mini Instruct   microsoft/Phi-4-mini-instruct
Required VRAM0 GB
Updated2026-11-02
Maintainersamadpls
Instruction-BasedYes
Model Files  0.0 GB
Supported Languagesen
Model ArchitectureAdapter
Licensemit
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesmodel.layers.16.mlp.down_proj|model.layers.16.mlp.gate_up_proj|model.layers.16.self_attn.o_proj|model.layers.16.self_attn.qkv_proj|model.layers.17.mlp.down_proj|model.layers.17.mlp.gate_up_proj|model.layers.17.self_attn.o_proj|model.layers.17.self_attn.qkv_proj|model.layers.18.mlp.down_proj|model.layers.18.mlp.gate_up_proj|model.layers.18.self_attn.o_proj|model.layers.18.self_attn.qkv_proj|model.layers.19.mlp.down_proj|model.layers.19.mlp.gate_up_proj|model.layers.19.self_attn.o_proj|model.layers.19.self_attn.qkv_proj|model.layers.20.mlp.down_proj|model.layers.20.mlp.gate_up_proj|model.layers.20.self_attn.o_proj|model.layers.20.self_attn.qkv_proj|model.layers.21.mlp.down_proj|model.layers.21.mlp.gate_up_proj|model.layers.21.self_attn.o_proj|model.layers.21.self_attn.qkv_proj|model.layers.22.mlp.down_proj|model.layers.22.mlp.gate_up_proj|model.layers.22.self_attn.o_proj|model.layers.22.self_attn.qkv_proj|model.layers.23.mlp.down_proj|model.layers.23.mlp.gate_up_proj|model.layers.23.self_attn.o_proj|model.layers.23.self_attn.qkv_proj|model.layers.24.mlp.down_proj|model.layers.24.mlp.gate_up_proj|model.layers.24.self_attn.o_proj|model.layers.24.self_attn.qkv_proj|model.layers.25.mlp.down_proj|model.layers.25.mlp.gate_up_proj|model.layers.25.self_attn.o_proj|model.layers.25.self_attn.qkv_proj|model.layers.26.mlp.down_proj|model.layers.26.mlp.gate_up_proj|model.layers.26.self_attn.o_proj|model.layers.26.self_attn.qkv_proj|model.layers.27.mlp.down_proj|model.layers.27.mlp.gate_up_proj|model.layers.27.self_attn.o_proj|model.layers.27.self_attn.qkv_proj|model.layers.28.mlp.down_proj|model.layers.28.mlp.gate_up_proj|model.layers.28.self_attn.o_proj|model.layers.28.self_attn.qkv_proj|model.layers.29.mlp.down_proj|model.layers.29.mlp.gate_up_proj|model.layers.29.self_attn.o_proj|model.layers.29.self_attn.qkv_proj|model.layers.30.mlp.down_proj|model.layers.30.mlp.gate_up_proj|model.layers.30.self_attn.o_proj|model.layers.30.self_attn.qkv_proj|model.layers.31.mlp.down_proj|model.layers.31.mlp.gate_up_proj|model.layers.31.self_attn.o_proj|model.layers.31.self_attn.qkv_proj
LoRA Alpha32
LoRA Dropout0
R Param16

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