--- base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct library_name: peft pipeline_tag: text-generation tags: - colab-forge - lora - peft - sovereign-ai - transformers license: apache-2.0 language: - en --- # gordon-ramsay-code-auditor Autonomous fine-tuned model artifact synthesized via **JESUS Sovereign Cloud Model Forge** (`hf-colab-forge`). ## Model Details - **Base Model**: [Qwen/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct) - **Artifact Type**: LoRA Adapter Weights - **Fine-Tuning Method**: QLoRA (NF4 4-bit / Double Quantization) - **Execution Grid**: Google Colab GPU (`Cloud Accelerator (NVIDIA)` ) - **Creation Date**: 2026-08-30 02:53:43 UTC ## Training Hyperparameters & Telemetry | Parameter | Value | | :--- | :--- | | **Base Model** | `Qwen/Qwen2.5-Coder-1.5B-Instruct` | | **LoRA Rank ($r$)** | `N/A` | | **LoRA Alpha ($\alpha$)** | `N/A` | | **Epochs** | `N/A` | | **Batch Size** | `N/A` (Gradient Accum: `4`) | | **Learning Rate** | `N/A` | | **Final Loss** | `N/A` | | **Training Duration** | `N/As` | ## Quickstart & Inference ### Python (`transformers` + `peft`) ```python import torch from transformers import AutoModelForCausalLM, AutoTokenizer from peft import PeftModel base_model_id = "Qwen/Qwen2.5-Coder-1.5B-Instruct" adapter_id = "dcmutlu/gordon-ramsay-code-auditor" tokenizer = AutoTokenizer.from_pretrained(base_model_id) base_model = AutoModelForCausalLM.from_pretrained( base_model_id, torch_dtype=torch.float16, device_map="auto" ) model = PeftModel.from_pretrained(base_model, adapter_id) prompt = "Triage user intent to the sovereign tool mesh." inputs = tokenizer(prompt, return_tensors="pt").to("cuda" if torch.cuda.is_available() else "cpu") outputs = model.generate(**inputs, max_new_tokens=256) print(tokenizer.decode(outputs[0], skip_special_tokens=True)) ``` ### Apple Silicon / Host Deployment (`llama.cpp` / GGUF) If utilizing GGUF weights on macOS (M-Series Metal acceleration): ```bash # Run via llama.cpp llama-cli -m gordon-ramsay-code-auditor-Q4_K_M.gguf -p "Triage user intent:" -ngl 99 -c 2048 ```