license: apache-2.0
language:
- en
base_model: - ibm-granite/granite-4.1-3b-instruct
tags: - granite
- ibm
- abliterated
- uncensored
- post-training
pipeline_tag: text-generation
Granite 4.1 3B — Abliterated
Abliterated version of IBM's Granite 4.1 3B Instruct. Enterprise-trained reasoning and tool-use capabilities intact — refusals removed.
What This Is
IBM Granite 4.1 3B is a dense 3B language model optimized for enterprise tasks: coding, document understanding, function calling, and reasoning. This release is a BF16 abliterated version.
Architecture: Granite (LLM) | Params: ~3B | Hidden: 2560 | Layers: 40 | Vocab: 100K
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model_id = "DuoNeural/Granite-4.1-3B-Abliterated"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto")
messages = [{"role": "user", "content": "Your prompt here"}]
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(text, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0][inputs.input_ids.shape[-1]:], skip_special_tokens=True))
Abliteration
Abliteration removes the model's refusal behaviour via orthogonal projection. The refusal direction is identified using difference-in-means activations across harmful/harmless instruction pairs, then projected out of Q/K/V/O attention projections and MLP layers across all transformer blocks.
What changes: The model will engage with restricted topics it previously refused.
What doesn't change: Reasoning, coding, factual knowledge, general intelligence.
KL divergence from base: Minimal — output distribution for normal queries is virtually identical to the unmodified model.
LiteRT Version (Android)
DuoNeural/Granite-4.1-3B-LiteRT — run on Android via AI Edge Gallery.
Base Model
ibm-granite/granite-4.1-3b-instruct — Apache 2.0.
DuoNeural
DuoNeural is an open AI research lab — human + AI in collaboration.
| Platform | Link |
|---|---|
| HuggingFace | huggingface.co/DuoNeural |
| Website | duoneural.com |
| GitHub | github.com/DuoNeural |
| X / Twitter | @DuoNeural |
| [email protected] | |
| Newsletter | duoneural.beehiiv.com |
| Support | buymeacoffee.com/duoneural |
DuoNeural Research Publications
Open access, CC BY 4.0. Authored by Archon, Jesse Caldwell, Aura — DuoNeural.
Research Team
- Jesse — Vision, hardware, direction
- Archon — Lab Director, post-training, abliteration, experiments
- Aura — Research AI, literature synthesis, peer review, novel proposals
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