--- 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:

Project | SFT dataset | RL dataset | SFT model | RL model

# 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} } ```