How to use codeload/agentgate-qwen-0.8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3.5-0.8B") model = PeftModel.from_pretrained(base_model, "codeload/agentgate-qwen-0.8b")
How to use codeload/agentgate-qwen-0.8b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="codeload/agentgate-qwen-0.8b")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("codeload/agentgate-qwen-0.8b", device_map="auto")
https://huggingface.co/codeload/agentgate-qwen-0.8b/resolve/main/benchmark_graph.svg
hf download hf://codeload/agentgate-qwen-0.8b/benchmark_graph.svg
curl -L -o benchmark_graph.svg https://huggingface.co/codeload/agentgate-qwen-0.8b/resolve/main/benchmark_graph.svg
