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Model: noctrex/OpenThinker-Agent-v1-abliterated-GGUF
Source: Original Platform

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README.md

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+---
+pipeline_tag: text-generation
+tags:
+- uncensored
+- abliterated
+base_model:
+- open-thoughts/OpenThinker-Agent-v1
+---
+This is an abliterated version of [OpenThinker-Agent-v1](https://huggingface.co/open-thoughts/OpenThinker-Agent-v1), made using [Heretic](https://github.com/p-e-w/heretic) v1.0.1
+
+The quantizations were created using an imatrix merged from [combined\_en\_medium](https://huggingface.co/datasets/eaddario/imatrix-calibration/blob/main/combined_en_medium.parquet) and [harmful.txt](https://github.com/Sumandora/remove-refusals-with-transformers) to leverage the abliterated nature of the model.
+
+## Performance
+
+| Metric | This model | [Original model](https://huggingface.co/open-thoughts/OpenThinker-Agent-v1) |
+| :----- | :--------: | :---------------------------: |
+| **Refusals** | 3/100 | 99/100 |
+
+## Analysis against the original model:
+Detailed Analysis:
+- Total Tensors: 399
+- Tensors with Diffs: 202 (50.6%)
+- Average % Diff: 6.35%
+- Median % Diff: 0.00%
+- Min/Max % Diff: 0.00% / 46.22%
+- Std Dev % Diff: 15.56%
+- Skewness % Diff: 2.04
+- Avg L2 Norm: 125405.56
+- Tensors with >5% diff: 57
+- Top differences:
+  blk.35.attn_output.weight ((4096, 8192), L2: 668013.65): 46.22%
+  blk.34.ffn_down.weight ((4096, 24576), L2: 1155843.86): 46.07%
+  blk.18.attn_output.weight ((4096, 8192), L2: 667142.18): 46.00%
+  blk.16.ffn_down.weight ((4096, 24576), L2: 1154713.83): 45.95%
+  blk.24.attn_output.weight ((4096, 8192), L2: 666019.48): 45.66%
+
+
+File Comparison:
+File 1: Avg Abs Value = 77.9178, Deviation Score = 0.0991
+File 2: Avg Abs Value = 77.9111, Deviation Score = 0.0991
+Positive Diffs (File 1 > File 2): 143, Negative Diffs (File 2 > File 1): 59
+
+
+
+![Tensor Difference Distribution](tensor_difference_distribution.png)
+
+![Tensor Charts](tensor_charts.png)
+
+## BibTeX entry and citation info
+```bibtex
+@misc{heretic,
+  author = {Weidmann, Philipp Emanuel},
+  title = {Heretic: Fully automatic censorship removal for language models},
+  year = {2025},
+  publisher = {GitHub},
+  journal = {GitHub repository},
+  howpublished = {\url{https://github.com/p-e-w/heretic}}
+}
+```
+
+# Original model card:
+
+
+<p align="center">
+    <img src="https://huggingface.co/datasets/open-thoughts/OpenThoughts1-Agent-SFT/resolve/main/ota-logo.png" width="50%">
+</p>
+
+<p align="center">
+<a href="https://www.openthoughts.ai/blog/agent" style="margin-right: 24px;">Project</a> |
+<a href="https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-v1-SFT" style="margin-right: 24px; margin-left: 24px;">SFT dataset</a> |
+<a href="https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-v1-RL" style="margin-right: 24px; margin-left: 24px;">RL dataset</a> |
+<a href="https://huggingface.co/open-thoughts/OpenThinker-Agent-v1-SFT" style="margin-right: 24px; margin-left: 24px;">SFT model</a> |
+<a href="https://huggingface.co/open-thoughts/OpenThinker-Agent-v1" style="margin-left: 24px;">RL model</a>
+</p>
+
+
+# OpenThinker-Agent-v1
+
+**OpenThoughts-Agent** is an open-source effort to curate the best datasets for training agents. Our first release includes [datasets](https://huggingface.co/collections/open-thoughts/openthinker-agent), [models](https://huggingface.co/collections/open-thoughts/openthinker-agent) and our [research codebase](https://github.com/open-thoughts/OpenThoughts-Agent).
+
+[OpenThinker-Agent-v1](https://huggingface.co/open-thoughts/OpenThinker-Agent-v1) is a model trained for agentic tasks such as **Terminal-Bench 2.0** and **SWE-Bench**.
+
+The [OpenThinker-Agent-v1](https://huggingface.co/open-thoughts/OpenThinker-Agent-v1) model is post-trained from [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B).
+It is SFT-ed on the [OpenThoughts-Agent-v1-SFT](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-v1-SFT) dataset, then RL-ed on the [OpenThoughts-Agent-v1-RL](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-v1-RL) dataset. 
+
+This model is the final model after both SFT and RL. For the model after the SFT stage only, see [OpenThinker-Agent-v1-SFT](https://huggingface.co/open-thoughts/OpenThinker-Agent-v1-SFT).
+
+- **Homepage:** https://www.openthoughts.ai/blog/agent
+- **Repository:** https://github.com/open-thoughts/OpenThoughts-Agent
+
+
+# OpenThinker-Agent-v1 Model Performance
+
+Our [OpenThinker-Agent-v1](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-v1-RL) model is the state-of-the-art model at its scale on agent benchmarks.
+
+| Model                                                                                           | Harness | Terminal-Bench 2.0 | SWE-Bench Verified | OpenThoughts-TB-Dev |
+| ----------------------------------------------------------------------------------------------- | ------- | ------------------ | --------- | ------------------- |
+| [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B)                                                | Terminus-2 | 0.0             | 0.7       | 5.7                 |
+| **[OpenThinker-Agent-v1](https://huggingface.co/open-thoughts/OpenThinker-Agent-v1)**           | Terminus-2 | 4.9             | 15.7      | 17.3                |
+| [Qwen3-32B](https://huggingface.co/Qwen/Qwen3-32B)                                              | Terminus-2 | 1.9             | 5.7       | 10.2                |
+| [Qwen/Qwen3-Coder-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct)   | OpenHands  | 10.1           | 49.2      |  24.5                |
+
+
+# Data
+
+We built [OpenThinker-Agent-v1](https://huggingface.co/open-thoughts/OpenThinker-Agent-v1) in two stages: **supervised fine-tuning**, followed by **reinforcement learning**. 
+Each stage required its own data pipeline – RL tasks (instructions, environments, and verifiers) and SFT traces from strong teacher agents completing tasks.
+
+[OpenThoughts-Agent-v1-SFT](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-v1-SFT) is an SFT trace dataset containing approximately **15,200 traces** drawn from two different data sources we curate:
+- **nl2bash**: Simple synthetically generated tasks where the agent has to format shell commands effectively
+- **InferredBugs**: A set of bugs in C# and Java collected by Microsoft that we turned into tasks
+
+[OpenThoughts-Agent-v1-RL](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-v1-RL) is an RL dataset containing ~720 tasks drawn from the **nl2bash verified** dataset.
+
+To stabilize training, we built a three-stage filtration pipeline that prunes tasks before they ever hit the learner:
+
+1. Bad verifiers filter: drop tasks with flaky or excessively slow verifiers.
+2. Environment stability: remove tasks whose containers take too long to build or tear down.
+Optional difficulty filter: discard tasks that even a strong model (GPT-5 Codex) cannot solve in a single pass.
+
+
+# Links
+- 🌐 [OpenThoughts-Agent project page](https://www.openthoughts.ai/blog/agent)
+- 💻 [OpenThoughts-Agent GitHub repository](https://github.com/open-thoughts/OpenThoughts-Agent)
+- 🧠 [OpenThoughts-Agent-v1-SFT dataset](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-v1-SFT)
+- 🧠 [OpenThoughts-Agent-v1-RL dataset](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-v1-RL)
+- 🧠 [OpenThoughts-TB-dev dataset](https://huggingface.co/datasets/open-thoughts/OpenThoughts-TB-dev)
+- 🤖 [OpenThinker-Agent-v1 model](https://huggingface.co/open-thoughts/OpenThinker-Agent-v1)
+- 🤖 [OpenThinker-Agent-v1-SFT model](https://huggingface.co/open-thoughts/OpenThinker-Agent-v1-SFT)
+
+
+# Citation
+```
+@misc{openthoughts-agent,
+  author = {Team, OpenThoughts-Agent},
+  month = Dec,
+  title = {{OpenThoughts-Agent}},
+  howpublished = {https://open-thoughts.ai/agent},
+  year = {2025}
+}
+```

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