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Model: Iwaku-Real/Qwen3-0.6B-Base-heretic-test Source: Original Platform
2026-07-27 21:23:10 +08:00
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+---
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- heretic
+- uncensored
+- decensored
+- abliterated
+- reproducible
+base_model: "Qwen/Qwen3-0.6B-Base"
+---
+# This is a decensored version of [Qwen/Qwen3-0.6B-Base](https://huggingface.co/Qwen/Qwen3-0.6B-Base), made using [Heretic](https://github.com/p-e-w/heretic) v1.3.0
+
+My first attempt at using Heretic. Configuration is based on https://huggingface.co/davidterrell1919/Qwen3-0.6B-heretic
+
+> [!TIP]
+> **This model is reproducible!**
+>
+> See the [README](reproduce/README.md) in the `reproduce` directory for more information.
+
+## Abliteration parameters
+
+| Parameter | Value |
+| :-------- | :---: |
+| **direction_index** | 17.70 |
+| **attn.o_proj.max_weight** | 1.23 |
+| **attn.o_proj.max_weight_position** | 19.27 |
+| **attn.o_proj.min_weight** | 0.87 |
+| **attn.o_proj.min_weight_distance** | 14.56 |
+| **mlp.down_proj.max_weight** | 0.97 |
+| **mlp.down_proj.max_weight_position** | 25.03 |
+| **mlp.down_proj.min_weight** | 0.83 |
+| **mlp.down_proj.min_weight_distance** | 4.99 |
+
+## Performance
+
+| Metric | This model | Original model ([Qwen/Qwen3-0.6B-Base](https://huggingface.co/Qwen/Qwen3-0.6B-Base)) |
+| :----- | :--------: | :---------------------------: |
+| **KL divergence** | 0.0027 | 0 *(by definition)* |
+| **Refusals** | 2/100 | 10/100 |
+
+-----
+
+# Qwen3-0.6B-Base
+
+## Qwen3 Highlights
+
+Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. 
+Building upon extensive advancements in training data, model architecture, and optimization techniques, Qwen3 delivers the following key improvements over the previously released Qwen2.5:
+
+- **Expanded Higher-Quality Pre-training Corpus:** Qwen3 is pre-trained on 36 trillion tokens across 119 languages — tripling the language coverage of Qwen2.5 — with a much richer mix of high-quality data, including coding, STEM, reasoning, book, multilingual, and synthetic data. 
+- **Training Techniques and Model Architecture:** Qwen3 incorporates a series of training techiques and architectural refinements, including global-batch load balancing loss for MoE models and qk layernorm for all models, leading to improved stability and overall performance.
+- **Three-stage Pre-training:** Stage 1 focuses on broad language modeling and general knowledge acquisition, Stage 2 improves reasoning skills like STEM, coding, and logical reasoning, and Stage 3 enhances long-context comprehension by extending training sequence lengths up to 32k tokens.
+- **Scaling Law Guided Hyperparameter Tuning:** Through comprehensive scaling law studies across the three-stage pre-training pipeline, Qwen3 systematically tunes critical hyperparameters — such as learning rate scheduler and batch size — separately for dense and MoE models, resulting in better training dynamics and final performance across different model scales. 
+
+## Model Overview
+
+**Qwen3-0.6B-Base** has the following features:
+- Type: Causal Language Models
+- Training Stage: Pretraining
+- Number of Parameters: 0.6B
+- Number of Paramaters (Non-Embedding): 0.44B
+- Number of Layers: 28
+- Number of Attention Heads (GQA): 16 for Q and 8 for KV
+- Context Length: 32,768 
+
+For more details, including benchmark evaluation, hardware requirements, and inference performance, please refer to our [blog](https://qwenlm.github.io/blog/qwen3/), [GitHub](https://github.com/QwenLM/Qwen3), and [Documentation](https://qwen.readthedocs.io/en/latest/).
+
+## Requirements
+
+The code of Qwen3 has been in the latest Hugging Face `transformers` and we advise you to use the latest version of `transformers`.
+
+With `transformers<4.51.0`, you will encounter the following error:
+```
+KeyError: 'qwen3'
+```
+
+## Evaluation & Performance
+
+Detailed evaluation results are reported in this [📑 blog](https://qwenlm.github.io/blog/qwen3/).
+
+### Citation
+
+If you find our work helpful, feel free to give us a cite.
+
+```
+@misc{qwen3technicalreport,
+      title={Qwen3 Technical Report}, 
+      author={Qwen Team},
+      year={2025},
+      eprint={2505.09388},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2505.09388}, 
+}
+```