How to use samadpls/torchlight-phi4-mini-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-4-mini-instruct") model = PeftModel.from_pretrained(base_model, "samadpls/torchlight-phi4-mini-lora")
How to use samadpls/torchlight-phi4-mini-lora with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("samadpls/torchlight-phi4-mini-lora") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True)
How to use samadpls/torchlight-phi4-mini-lora with MLX LM:
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "samadpls/torchlight-phi4-mini-lora" --prompt "Once upon a time"
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