auto-patch README.md

README.md

@@ -1,3 +1,53 @@
+---
+base_model: sequelbox/Qwen3-8B-DAG-Reasoning
+datasets:
+- sequelbox/DAG-Reasoning-DeepSeek-R1-0528
+language:
+- en
+library_name: transformers
+license: apache-2.0
+mradermacher:
+  readme_rev: 1
+quantized_by: mradermacher
+tags:
+- dag-reasoning
+- valiant
+- valiant-labs
+- qwen
+- qwen-3
+- qwen-3-8b
+- 8b
+- reasoning
+- directed-acyclic-graph
+- graph
+- logic
+- analysis
+- programming
+- knowledge
+- root-cause-analysis
+- economics
+- business
+- business-management
+- finance
+- law
+- supply-chain
+- logistics
+- software-engineering
+- cybersecurity
+- architecture
+- energy
+- politics
+- problem-solving
+- creative
+- analytical
+- expert
+- rationality
+- conversational
+- chat
+- instruct
+---
+## About
+
 <!-- ### quantize_version: 2 -->
 <!-- ### output_tensor_quantised: 1 -->
 <!-- ### convert_type: hf -->
@@ -7,3 +57,51 @@
 <!-- ### quants_skip:  -->
 <!-- ### skip_mmproj:  -->
 static quants of https://huggingface.co/sequelbox/Qwen3-8B-DAG-Reasoning
+
+<!-- provided-files -->
+
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3-8B-DAG-Reasoning-GGUF).***
+
+weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-8B-DAG-Reasoning-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/Qwen3-8B-DAG-Reasoning-GGUF/resolve/main/Qwen3-8B-DAG-Reasoning.Q2_K.gguf) | Q2_K | 3.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-DAG-Reasoning-GGUF/resolve/main/Qwen3-8B-DAG-Reasoning.Q3_K_S.gguf) | Q3_K_S | 3.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-DAG-Reasoning-GGUF/resolve/main/Qwen3-8B-DAG-Reasoning.Q3_K_M.gguf) | Q3_K_M | 4.2 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-DAG-Reasoning-GGUF/resolve/main/Qwen3-8B-DAG-Reasoning.Q3_K_L.gguf) | Q3_K_L | 4.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-DAG-Reasoning-GGUF/resolve/main/Qwen3-8B-DAG-Reasoning.Q4_K_S.gguf) | Q4_K_S | 4.9 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-DAG-Reasoning-GGUF/resolve/main/Qwen3-8B-DAG-Reasoning.Q4_K_M.gguf) | Q4_K_M | 5.1 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-DAG-Reasoning-GGUF/resolve/main/Qwen3-8B-DAG-Reasoning.Q6_K.gguf) | Q6_K | 6.8 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-DAG-Reasoning-GGUF/resolve/main/Qwen3-8B-DAG-Reasoning.Q8_0.gguf) | Q8_0 | 8.8 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-DAG-Reasoning-GGUF/resolve/main/Qwen3-8B-DAG-Reasoning.f16.gguf) | f16 | 16.5 | 16 bpw, overkill |
+
+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 -->