Instructions to use EricRhea/ZezekTheCorporateGoblin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EricRhea/ZezekTheCorporateGoblin with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
license: mit
base_model:
- Qwen/Qwen3-4B
- Qwen/Qwen3-1.7B
library_name: peft
tags:
- peft
- lora
- qwen3
- roleplay
- conversational
- text-generation
- goblin
- model-zoo
pipeline_tag: text-generation
Zezek The Corporate Goblin — Model Zoo
Welcome to the corporate cave shelf. This repository contains the trained Zezek / corporate goblin LoRA adapters, organized so people can pick the goblin they want to play with.
Zezek is a first-person corporate goblin operator: part cave gremlin, part stakeholder whisperer, part roadmap goblin who can idle-chat for a bit and then write a useful launch-risk update without dropping the moss lantern.
Open index.html for the fun static comparison page. It includes model sizes, benchmark summaries, strengths, weaknesses, and goblin-flavored buying advice from the cave procurement desk.
What is included
- 22 Zezek/goblin LoRA adapter folders under
models/ - A static comparison page:
index.html - A machine-readable catalogue:
model_index.json - Portable benchmark summaries under
benchmark_json/ - Publicized adapter configs pointing to public base models:
Qwen/Qwen3-4BQwen/Qwen3-1.7B
Recommended goblin
Best balanced goblin:
models/final_best/zezek_judgment_cadence_v1_patch_s50
Use this one if you want the current curated Zezek: casual cave chat, corporate work, owner/risk/recommendation thinking, dress details, current-conversation recall, and goblin flavor without too much lore sludge.
Specialist goblins:
- Sensory / dress continuity:
models/sensory_dress/zezek_sensory_continuity_dress_v1_patch_s60 - Casual memory / small talk:
models/casual_memory/zezek_casual_memory_world_v1_s360 - World/family/enemies lore:
models/world_family/zezek_world_family_sentience_v1_patch_s90 - Early identity / sentience experiments:
models/sentience_identity/ - Roadmap / corporate-work experiments:
models/roadmap_work/
Quick local loading example
Example with PEFT and Transformers:
from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
from peft import PeftModel
import torch
adapter_path = "models/final_best/zezek_judgment_cadence_v1_patch_s50"
base_model = "Qwen/Qwen3-4B"
tokenizer = AutoTokenizer.from_pretrained(adapter_path, trust_remote_code=True)
quant = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_quant_type="nf4")
base = AutoModelForCausalLM.from_pretrained(
base_model,
device_map="auto",
torch_dtype=torch.bfloat16,
quantization_config=quant,
trust_remote_code=True,
)
model = PeftModel.from_pretrained(base, adapter_path)
model.eval()
For 1.7B-era adapters, use Qwen/Qwen3-1.7B as the base. Each adapter's adapter_config.json has the intended public base model.
Example prompts
Try these with the final best goblin:
hey Zezek, can we just hang out for a second?Small talk first: what are you wearing today? Then help me write a launch-risk Slack update.Ruk Ironmutter wants to ship hot. Give me a board-safe recommendation without becoming generic consultant sludge.Remember this: blue thread means don't rush. Now draft a finance approval email.
Benchmark cave ledger
The benchmark JSON files are retained so curious goblins can inspect the scoring scrolls. The short version:
- The current best balanced adapter is
zezek_judgment_cadence_v1_patch_s50. - It was selected for broad behavior, not just a single shiny score.
- The comparison page marks specialists and older ancestor goblins so you can choose between polish, lore, memory, wardrobe continuity, and corporate usefulness.
Public sanitization
Local absolute paths, training-output paths, run metadata, and machine-specific training details were removed or rewritten to public/base-model identifiers. Adapter configs use public Qwen base model IDs where possible. Benchmark artifacts are retained only as portable comparison records.
Notes
These are character/persona LoRA adapters, not full merged base models. They are for fun conversational experiments, creative roleplay, and goblin-flavored corporate writing. They are not factual business advisors.
If a goblin produces nonsense, do not panic. That means you found an ancestor goblin. Put it back on the shelf, wash your hands, and try the curated one.