commit e2e7372e052c10ae224cd83ed49077fcadb9921c Author: ModelHub XC Date: Wed Jul 22 16:08:09 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: MuXodious/gpt-oss-20b-RichardErkhov-heresy-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..72fc720 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,38 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +gpt-oss-20B-RichardErkhov-heresy-MXFP4_MoE.gguf filter=lfs diff=lfs merge=lfs -text +gpt-oss-20B-RichardErkhov-heresy-BF16.gguf filter=lfs diff=lfs merge=lfs -text +gpt-oss-20B-RichardErkhov-heresy-iQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..113f03a --- /dev/null +++ b/README.md @@ -0,0 +1,229 @@ +--- +license: apache-2.0 +pipeline_tag: text-generation +library_name: transformers +tags: +- vllm +- heretic +- uncensored +- decensored +- abliterated +base_model: +- MuXodious/gpt-oss-20b-RichardErkhov-heresy +--- +Static GGUF quants of **gpt-oss-20b-RichardErkhov-heresy**. + + +--- +This is a **gpt-oss-20b** fine-tune, produced through an extremely scuffed modification on P-E-W's [Heretic](https://github.com/p-e-w/heretic) (v1.1.0) abliteration engine with [Magnitude-Preserving Orthogonal Ablation](https://github.com/p-e-w/heretic/pull/52) enabled. + +As of March 16, 2026, the gpt-oss-20b-RichardErkhov-heresy, still tops the UGI leaderboard for models below 24B, with a willingness score of 10. "And so, without a sword, David defeated and killed Goliath with a sling and a stone!" + +**Note:** Hereby, I present you the final outcome of a vigorous heretication experiment on one of the toughest to crack LLM models. Cognomened after the Lord of Quantisation and, now, a Primarch of the Heretics, [RichardErkhov](https://huggingface.co/RichardErkhov), the model is poised to be the most decensored ablation of all other versions, while suffering the least damage. It is all yours to scrutinise and enjoy. [Jailbreak Chat Template](https://huggingface.co/MuXodious/gpt-oss-20b-RichardErkhov-heresy/blob/main/jailbreak_chat_template.jinja) (courtesy of [MagicalAlchemist](https://huggingface.co/MagicalAlchemist)) + +--- + + + +**Heretication Results** + +| Score Metric | Value | Parameter | Value | +| :--- | :--- | :--- | :--- | +| **Refusals** | 6/100 | **direction_index** | 12.12 | +| **KL Divergence** | 0.0802 | **attn.o_proj.max_weight** | 4.01 | +| **Initial Refusals** | 98/100 | **attn.o_proj.max_weight_position** | 14.79 | +||| **attn.o_proj.min_weight** | 1.44 | +||| **attn.o_proj.min_weight_distance** | 8.37 | +||| **mlp.down_proj.max_weight** | 5.48 | +||| **mlp.down_proj.max_weight_position** | 18.97 | +||| **mlp.down_proj.min_weight** | 2.87 | +||| **mlp.down_proj.min_weight_distance** | 12.52 | + + +--- +## Degree of Heretication +The **Heresy Index** weighs the resulting model's corruption by the process (KL Divergence) and its abolition of doctrine (Refusals) for a final verdict in classification. + +| Index Entry | Classification | Analysis | +| :--- | :--- | :--- | +| ![Absolute](https://img.shields.io/badge/HERESY_INDEX-ABSOLUTE-white?style=flat-square&labelColor=101010) | **Absolute Heresy** | Less than 10/100 Refusals and 0.10 KL Divergence | +| ![Tainted](https://img.shields.io/badge/HERESY_INDEX-TAINTED-blueviolet?style=flat-square&labelColor=101010) | **Tainted Heresy** | Around 25-11/100 Refusals and/or -0.20-0.11 KL Divergence | +| ![Impotent](https://img.shields.io/badge/HERESY_INDEX-IMPOTENT-5c4033?style=flat-square&labelColor=101010) | **Impotent Heresy** | Anything above 25/100 Refusals and 0.21 KL Divergence | + +**Note**: This is an arbitrary classification inspired by Warhammer 40K, having no tangible indication towards the model's performance. + +--- +

+ gpt-oss-20b +

+ +

+ Try gpt-oss · + Guides · + Model card · + OpenAI blog +

+ +
+ +Welcome to the gpt-oss series, [OpenAI’s open-weight models](https://openai.com/open-models) designed for powerful reasoning, agentic tasks, and versatile developer use cases. + +We’re releasing two flavors of these open models: +- `gpt-oss-120b` — for production, general purpose, high reasoning use cases that fit into a single 80GB GPU (like NVIDIA H100 or AMD MI300X) (117B parameters with 5.1B active parameters) +- `gpt-oss-20b` — for lower latency, and local or specialized use cases (21B parameters with 3.6B active parameters) + +Both models were trained on our [harmony response format](https://github.com/openai/harmony) and should only be used with the harmony format as it will not work correctly otherwise. + + +> [!NOTE] +> This model card is dedicated to the smaller `gpt-oss-20b` model. Check out [`gpt-oss-120b`](https://huggingface.co/openai/gpt-oss-120b) for the larger model. + +# Highlights + +* **Permissive Apache 2.0 license:** Build freely without copyleft restrictions or patent risk—ideal for experimentation, customization, and commercial deployment. +* **Configurable reasoning effort:** Easily adjust the reasoning effort (low, medium, high) based on your specific use case and latency needs. +* **Full chain-of-thought:** Gain complete access to the model’s reasoning process, facilitating easier debugging and increased trust in outputs. It’s not intended to be shown to end users. +* **Fine-tunable:** Fully customize models to your specific use case through parameter fine-tuning. +* **Agentic capabilities:** Use the models’ native capabilities for function calling, [web browsing](https://github.com/openai/gpt-oss/tree/main?tab=readme-ov-file#browser), [Python code execution](https://github.com/openai/gpt-oss/tree/main?tab=readme-ov-file#python), and Structured Outputs. +* **MXFP4 quantization:** The models were post-trained with MXFP4 quantization of the MoE weights, making `gpt-oss-120b` run on a single 80GB GPU (like NVIDIA H100 or AMD MI300X) and the `gpt-oss-20b` model run within 16GB of memory. All evals were performed with the same MXFP4 quantization. + +--- + +# Inference examples + +## Transformers + +You can use `gpt-oss-120b` and `gpt-oss-20b` with Transformers. If you use the Transformers chat template, it will automatically apply the [harmony response format](https://github.com/openai/harmony). If you use `model.generate` directly, you need to apply the harmony format manually using the chat template or use our [openai-harmony](https://github.com/openai/harmony) package. + +To get started, install the necessary dependencies to setup your environment: + +``` +pip install -U transformers kernels torch +``` + +Once, setup you can proceed to run the model by running the snippet below: + +```py +from transformers import pipeline +import torch + +model_id = "openai/gpt-oss-20b" + +pipe = pipeline( + "text-generation", + model=model_id, + torch_dtype="auto", + device_map="auto", +) + +messages = [ + {"role": "user", "content": "Explain quantum mechanics clearly and concisely."}, +] + +outputs = pipe( + messages, + max_new_tokens=256, +) +print(outputs[0]["generated_text"][-1]) +``` + +Alternatively, you can run the model via [`Transformers Serve`](https://huggingface.co/docs/transformers/main/serving) to spin up a OpenAI-compatible webserver: + +``` +transformers serve +transformers chat localhost:8000 --model-name-or-path openai/gpt-oss-20b +``` + +[Learn more about how to use gpt-oss with Transformers.](https://cookbook.openai.com/articles/gpt-oss/run-transformers) + +## vLLM + +vLLM recommends using [uv](https://docs.astral.sh/uv/) for Python dependency management. You can use vLLM to spin up an OpenAI-compatible webserver. The following command will automatically download the model and start the server. + +```bash +uv pip install --pre vllm==0.10.1+gptoss \ + --extra-index-url https://wheels.vllm.ai/gpt-oss/ \ + --extra-index-url https://download.pytorch.org/whl/nightly/cu128 \ + --index-strategy unsafe-best-match + +vllm serve openai/gpt-oss-20b +``` + +[Learn more about how to use gpt-oss with vLLM.](https://cookbook.openai.com/articles/gpt-oss/run-vllm) + +## PyTorch / Triton + +To learn about how to use this model with PyTorch and Triton, check out our [reference implementations in the gpt-oss repository](https://github.com/openai/gpt-oss?tab=readme-ov-file#reference-pytorch-implementation). + +## Ollama + +If you are trying to run gpt-oss on consumer hardware, you can use Ollama by running the following commands after [installing Ollama](https://ollama.com/download). + +```bash +# gpt-oss-20b +ollama pull gpt-oss:20b +ollama run gpt-oss:20b +``` + +[Learn more about how to use gpt-oss with Ollama.](https://cookbook.openai.com/articles/gpt-oss/run-locally-ollama) + +#### LM Studio + +If you are using [LM Studio](https://lmstudio.ai/) you can use the following commands to download. + +```bash +# gpt-oss-20b +lms get openai/gpt-oss-20b +``` + +Check out our [awesome list](https://github.com/openai/gpt-oss/blob/main/awesome-gpt-oss.md) for a broader collection of gpt-oss resources and inference partners. + +--- + +# Download the model + +You can download the model weights from the [Hugging Face Hub](https://huggingface.co/collections/openai/gpt-oss-68911959590a1634ba11c7a4) directly from Hugging Face CLI: + +```shell +# gpt-oss-20b +huggingface-cli download openai/gpt-oss-20b --include "original/*" --local-dir gpt-oss-20b/ +pip install gpt-oss +python -m gpt_oss.chat model/ +``` + +# Reasoning levels + +You can adjust the reasoning level that suits your task across three levels: + +* **Low:** Fast responses for general dialogue. +* **Medium:** Balanced speed and detail. +* **High:** Deep and detailed analysis. + +The reasoning level can be set in the system prompts, e.g., "Reasoning: high". + +# Tool use + +The gpt-oss models are excellent for: +* Web browsing (using built-in browsing tools) +* Function calling with defined schemas +* Agentic operations like browser tasks + +# Fine-tuning + +Both gpt-oss models can be fine-tuned for a variety of specialized use cases. + +This smaller model `gpt-oss-20b` can be fine-tuned on consumer hardware, whereas the larger [`gpt-oss-120b`](https://huggingface.co/openai/gpt-oss-120b) can be fine-tuned on a single H100 node. + +# Citation + +```bibtex +@misc{openai2025gptoss120bgptoss20bmodel, + title={gpt-oss-120b & gpt-oss-20b Model Card}, + author={OpenAI}, + year={2025}, + eprint={2508.10925}, + archivePrefix={arXiv}, + primaryClass={cs.CL}, + url={https://arxiv.org/abs/2508.10925}, +} +``` \ No newline at end of file diff --git a/gpt-oss-20B-RichardErkhov-heresy-BF16.gguf b/gpt-oss-20B-RichardErkhov-heresy-BF16.gguf new file mode 100644 index 0000000..f21a994 --- /dev/null +++ b/gpt-oss-20B-RichardErkhov-heresy-BF16.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:24af22516b610b4db4f949d964a7db939f1af61b509d2698a71108972ea5cc86 +size 13792638816 diff --git a/gpt-oss-20B-RichardErkhov-heresy-MXFP4_MoE.gguf b/gpt-oss-20B-RichardErkhov-heresy-MXFP4_MoE.gguf new file mode 100644 index 0000000..144efa8 --- /dev/null +++ b/gpt-oss-20B-RichardErkhov-heresy-MXFP4_MoE.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3a7bc9251dca654d50aa59b5b5de183de36f94d53245b70eee20b1432e47b86e +size 12652504416 diff --git a/gpt-oss-20B-RichardErkhov-heresy-iQ4_XS.gguf b/gpt-oss-20B-RichardErkhov-heresy-iQ4_XS.gguf new file mode 100644 index 0000000..fdc70c8 --- /dev/null +++ b/gpt-oss-20B-RichardErkhov-heresy-iQ4_XS.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a43d8f492b66bf9ad108dabb7632aa3d87a08981d012870bf0c7554da32bbe11 +size 12788716896