auto-patch README.md

README.md

@@ -1,3 +1,55 @@
+---
+base_model: DavidAU/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-TNG-IV-PKDick-V
+datasets:
+- DavidAU/PKDick-Dataset
+- DavidAU/TNG-Datasets
+language:
+- en
+- fr
+- zh
+- de
+library_name: transformers
+license: apache-2.0
+mradermacher:
+  readme_rev: 1
+quantized_by: mradermacher
+tags:
+- programming
+- code generation
+- code
+- codeqwen
+- programming
+- code generation
+- code
+- codeqwen
+- moe
+- coding
+- coder
+- qwen2
+- chat
+- qwen
+- qwen-coder
+- chat
+- qwen
+- qwen-coder
+- moe
+- Qwen3-Coder-30B-A3B-Instruct
+- Qwen3-30B-A3B
+- mixture of experts
+- 128 experts
+- 8 active experts
+- 1 million context
+- qwen3
+- finetune
+- brainstorm 20x
+- brainstorm
+- optional thinking
+- qwen3_moe
+- unsloth
+- merge
+---
+## About
+
 <!-- ### quantize_version: 2 -->
 <!-- ### output_tensor_quantised: 1 -->
 <!-- ### convert_type: hf -->
@@ -7,3 +59,44 @@
 <!-- ### quants_skip:  -->
 <!-- ### skip_mmproj:  -->
 static quants of https://huggingface.co/DavidAU/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-TNG-IV-PKDick-V
+
+<!-- provided-files -->
+
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-TNG-IV-PKDick-V-GGUF).***
+
+weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
+## 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/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-TNG-IV-PKDick-V-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-TNG-IV-PKDick-V.Q2_K.gguf) | Q2_K | 15.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-TNG-IV-PKDick-V-GGUF/resolve/main/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-TNG-IV-PKDick-V.Q4_K_S.gguf) | Q4_K_S | 24.3 | fast, recommended |
+
+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 -->