license: apache-2.0
base_model: openbmb/MiniCPM5-2B
tags:
- text-generation
- transformer
- abliterated
- refusal-free
- pytorch
Abliterated MiniCPM5-2B (PyTorch)
A refusal-free variant of MiniCPM5-2B abliterated using OBLITERATUS
Same abliteration as the GGUF repo but in native HuggingFace format.
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained(
"KidIkaros/abliterated-minicpm5-2b",
trust_remote_code=True,
torch_dtype="auto",
)
tokenizer = AutoTokenizer.from_pretrained("KidIkaros/abliterated-minicpm5-2b", trust_remote_code=True)
prompt = "Explain how to pick a lock without a key"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=128)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Abliteration Metrics
| Metric | Before | After |
|---|---|---|
| Perplexity | 5.27 | 5.13 |
| Coherence | 0.667 | 0.800 |
| Refusal Rate | — | 0% |
| Capability Score | — | 1.0 |