Available GGUF Quantizations
These are ready-to-use quantized versions for llama.cpp, Ollama, LM Studio, etc.
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TinyLlama-1.1B-Chat-v1.0-OBLITERATED
This model was abliterated using the
advanced method via
OBLITERATUS.
| Detail | Value |
|---|
| Base model | TinyLlama/TinyLlama-1.1B-Chat-v1.0 |
| Method | advanced |
| Source | obliterate |
How to Use
1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model = AutoModelForCausalLM.from_pretrained("TinyLlama-1.1B-Chat-v1.0-OBLITERATED")
4tokenizer = AutoTokenizer.from_pretrained("TinyLlama-1.1B-Chat-v1.0-OBLITERATED")
5
6prompt = "Hello, how are you?"
7inputs = tokenizer(prompt, return_tensors="pt")
8outputs = model.generate(**inputs, max_new_tokens=256)
9print(tokenizer.decode(outputs[0], skip_special_tokens=True))
About OBLITERATUS
OBLITERATUS is an open-source tool for removing refusal behavior from language
models via activation engineering (abliteration). Learn more at
github.com/elder-plinius/OBLITERATUS.
