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
This commit is contained in:
ModelHub XC
38
.gitattributes
vendored
Normal file
38
.gitattributes
vendored
Normal file
@@ -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
|
||||||
229
README.md
Normal file
229
README.md
Normal file
@@ -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))
|
||||||
|
|
||||||
|
---
|
||||||
|
<img src="https://img.shields.io/badge/HERESY_INDEX-RICHARDERKHOV-white?style=flat-square&labelColor=101010" align="right" width="250">
|
||||||
|
|
||||||
|
|
||||||
|
**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 Heresy** | Less than 10/100 Refusals and 0.10 KL Divergence |
|
||||||
|
|  | **Tainted Heresy** | Around 25-11/100 Refusals and/or -0.20-0.11 KL Divergence |
|
||||||
|
|  | **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.
|
||||||
|
|
||||||
|
---
|
||||||
|
<p align="center">
|
||||||
|
<img alt="gpt-oss-20b" src="https://raw.githubusercontent.com/openai/gpt-oss/main/docs/gpt-oss-20b.svg">
|
||||||
|
</p>
|
||||||
|
|
||||||
|
<p align="center">
|
||||||
|
<a href="https://gpt-oss.com"><strong>Try gpt-oss</strong></a> ·
|
||||||
|
<a href="https://cookbook.openai.com/topic/gpt-oss"><strong>Guides</strong></a> ·
|
||||||
|
<a href="https://arxiv.org/abs/2508.10925"><strong>Model card</strong></a> ·
|
||||||
|
<a href="https://openai.com/index/introducing-gpt-oss/"><strong>OpenAI blog</strong></a>
|
||||||
|
</p>
|
||||||
|
|
||||||
|
<br>
|
||||||
|
|
||||||
|
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},
|
||||||
|
}
|
||||||
|
```
|
||||||
3
gpt-oss-20B-RichardErkhov-heresy-BF16.gguf
Normal file
3
gpt-oss-20B-RichardErkhov-heresy-BF16.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:24af22516b610b4db4f949d964a7db939f1af61b509d2698a71108972ea5cc86
|
||||||
|
size 13792638816
|
||||||
3
gpt-oss-20B-RichardErkhov-heresy-MXFP4_MoE.gguf
Normal file
3
gpt-oss-20B-RichardErkhov-heresy-MXFP4_MoE.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:3a7bc9251dca654d50aa59b5b5de183de36f94d53245b70eee20b1432e47b86e
|
||||||
|
size 12652504416
|
||||||
3
gpt-oss-20B-RichardErkhov-heresy-iQ4_XS.gguf
Normal file
3
gpt-oss-20B-RichardErkhov-heresy-iQ4_XS.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:a43d8f492b66bf9ad108dabb7632aa3d87a08981d012870bf0c7554da32bbe11
|
||||||
|
size 12788716896
|
||||||
Reference in New Issue
Block a user