auto-patch README.md

README.md

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+---
+base_model: paperboygold/gpt-oss-sanguine-20b-v1
+datasets:
+- NousResearch/Hermes-3-Dataset
+- Anthropic/hh-rlhf
+- teknium/OpenHermes-2.5
+- microsoft/orca-math-word-problems-200k
+- WizardLM/WizardLM_evol_instruct_V2_196k
+- calme/legalkit
+- nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
+- Yoondi/bluemoon-roleplay-chat-jsonl
+- LooksJuicy/Chinese-Roleplay-Novel
+- zhouzr/pk-roleplay
+- openerotica/long-roleplay-v0.1
+- mrcuddle/nous-character-codex
+- Arasaaf/myuri_roleplay
+- AlekseyKorshuk/gpt-roleplay-realm-chatml
+- diwank/gpt_roleplay_realm-chatml
+- Gryphe/Sonnet3.5-Charcard-Roleplay
+- hieunguyenminh/roleplay
+- zerofata/Roleplay-Anime-Characters
+- Locutusque/FalseReject-sharegpt
+- QuixiAI/open-instruct-uncensored
+- allenai/WildChat-4.8M-Full
+- nvidia/Llama-Nemotron-Post-Training-Dataset
+- WizardLMTeam/WizardLM_evol_instruct_V2_196k
+- nvidia/OpenCodeReasoning
+- MaziyarPanahi/calme-legalkit-v0.2
+- Nitral-AI/Cybersecurity-ShareGPT
+- savaniDhruv/Cybersecurity_Attack_Dataset
+- openerotica/erotica-analysis
+- demelin/moral_stories
+language:
+- en
+- zh
+library_name: transformers
+license: mit
+mradermacher:
+  readme_rev: 1
+quantized_by: mradermacher
+tags:
+- peft
+- lora
+- roleplay
+- creative-writing
+- consequence-based-alignment
+- gpt-oss
+- openai-harmony
+---
+## About
+
 <!-- ### quantize_version: 2 -->
 <!-- ### output_tensor_quantised: 1 -->
 <!-- ### convert_type: hf -->
@@ -7,3 +58,53 @@
 <!-- ### quants_skip:  -->
 <!-- ### skip_mmproj:  -->
 static quants of https://huggingface.co/paperboygold/gpt-oss-sanguine-20b-v1
+
+<!-- provided-files -->
+
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#gpt-oss-sanguine-20b-v1-GGUF).***
+
+weighted/imatrix quants are available at https://huggingface.co/mradermacher/gpt-oss-sanguine-20b-v1-i1-GGUF
+## Usage
+
+If you are unsure how to use GGUF files, refer to one of [TheBloke's
+READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
+more details, including on how to concatenate multi-part files.
+
+## Provided Quants
+
+(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
+
+| Link | Type | Size/GB | Notes |
+|:-----|:-----|--------:|:------|
+| [GGUF](https://huggingface.co/mradermacher/gpt-oss-sanguine-20b-v1-GGUF/resolve/main/gpt-oss-sanguine-20b-v1.Q3_K_S.gguf) | Q3_K_S | 12.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/gpt-oss-sanguine-20b-v1-GGUF/resolve/main/gpt-oss-sanguine-20b-v1.Q2_K.gguf) | Q2_K | 12.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/gpt-oss-sanguine-20b-v1-GGUF/resolve/main/gpt-oss-sanguine-20b-v1.IQ4_XS.gguf) | IQ4_XS | 12.3 |  |
+| [GGUF](https://huggingface.co/mradermacher/gpt-oss-sanguine-20b-v1-GGUF/resolve/main/gpt-oss-sanguine-20b-v1.Q3_K_M.gguf) | Q3_K_M | 13.0 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/gpt-oss-sanguine-20b-v1-GGUF/resolve/main/gpt-oss-sanguine-20b-v1.Q3_K_L.gguf) | Q3_K_L | 13.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/gpt-oss-sanguine-20b-v1-GGUF/resolve/main/gpt-oss-sanguine-20b-v1.Q4_K_S.gguf) | Q4_K_S | 14.8 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/gpt-oss-sanguine-20b-v1-GGUF/resolve/main/gpt-oss-sanguine-20b-v1.Q4_K_M.gguf) | Q4_K_M | 15.9 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/gpt-oss-sanguine-20b-v1-GGUF/resolve/main/gpt-oss-sanguine-20b-v1.Q5_K_S.gguf) | Q5_K_S | 16.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/gpt-oss-sanguine-20b-v1-GGUF/resolve/main/gpt-oss-sanguine-20b-v1.Q5_K_M.gguf) | Q5_K_M | 17.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/gpt-oss-sanguine-20b-v1-GGUF/resolve/main/gpt-oss-sanguine-20b-v1.Q6_K.gguf) | Q6_K | 22.3 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/gpt-oss-sanguine-20b-v1-GGUF/resolve/main/gpt-oss-sanguine-20b-v1.Q8_0.gguf) | Q8_0 | 22.4 | fast, best quality |
+
+Here is a handy graph by ikawrakow comparing some lower-quality quant
+types (lower is better):
+
+![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
+
+And here are Artefact2's thoughts on the matter:
+https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
+
+## FAQ / Model Request
+
+See https://huggingface.co/mradermacher/model_requests for some answers to
+questions you might have and/or if you want some other model quantized.
+
+## Thanks
+
+I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
+me use its servers and providing upgrades to my workstation to enable
+this work in my free time.
+
+<!-- end -->