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no1tobyfoxfam
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Model Details
Model Provider
no1tobyfoxfam
Model Tree
Qwen/Qwen3-4B-Instruct-2507
Input Modalities
Output Modalities
Supported Functionality
Trained for broken sentences, repetition, nonsense equations, and stray code. No special persona prompt is needed. Claims about installing software or completing actions are fictional text; this model has no tools. Intentionally unreliable. Not intended for factual advice or agent execution.
42 synthetic prompt/response pairs, including a user-provided style example. 126 optimizer steps (3 passes), batch size 1, assistant-only loss. LoRA rank 16, alpha 32, dropout 0.05; q_proj, k_proj, v_proj, o_proj. AdamW learning rate 0.0003; FP16 base on a Colab Tesla T4. 11,796,480 trainable parameters. Dataset, loss log and comparison included. Small style experiment; no comprehensive evaluation.
Install torch, transformers>=4.51,<5, accelerate, and peft==0.17.1.
python
import torchfrom transformers import AutoModelForCausalLM, AutoTokenizerfrom peft import PeftModel base_id = "Qwen/Qwen3-4B-Instruct-2507"adapter_id = "no1tobyfoxfam/worlds-most-erratic-ai-model-model-model"tokenizer = AutoTokenizer.from_pretrained(base_id)base = AutoModelForCausalLM.from_pretrained( base_id, torch_dtype=torch.float16, device_map="auto")model = PeftModel.from_pretrained(base, adapter_id).eval()text = tokenizer.apply_chat_template( [{"role": "user", "content": "Did you finish the installation?"}], tokenize=False, add_generation_prompt=True)inputs = tokenizer(text, return_tensors="pt").to(model.device)with torch.inference_mode(): output = model.generate(**inputs, max_new_tokens=120, do_sample=False, pad_token_id=tokenizer.eos_token_id)print(tokenizer.decode(output[0][inputs.input_ids.shape[1]:], skip_special_tokens=True))