auto-patch README.md

README.md

@@ -1,6 +1,80 @@
+---
+base_model: GreenerPastures/Golden-Curry-12B
+datasets:
+- Mielikki/Erebus-87k
+- PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
+- NewEden/Kalo-Opus-Instruct-22k-Refusal-Murdered
+- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
+- NewEden/Gryphe-Sonnet-3.5-35k-Subset
+- Nitral-AI/GU_Instruct-ShareGPT
+- Nitral-AI/Medical_Instruct-ShareGPT
+- AquaV/Resistance-Sharegpt
+- AquaV/US-Army-Survival-Sharegpt
+- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
+- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
+- ResplendentAI/bluemoon
+- hardlyworking/openerotica-freedomrp-sharegpt-system
+- MinervaAI/Aesir-Preview
+- anthracite-core/c2_logs_32k_v1.1
+- Nitral-AI/Creative_Writing-ShareGPT
+- PJMixers/lodrick-the-lafted_OpusStories-Story2Prompt-ShareGPT
+- NewEden/Opus-accepted-hermes-rejected-shuffled
+language:
+- en
+library_name: transformers
+license: apache-2.0
+quantized_by: mradermacher
+---
+## About
+
 <!-- ### quantize_version: 2 -->
 <!-- ### output_tensor_quantised: 1 -->
 <!-- ### convert_type: hf -->
 <!-- ### vocab_type:  -->
 <!-- ### tags:  -->
 static quants of https://huggingface.co/GreenerPastures/Golden-Curry-12B
+
+<!-- provided-files -->
+weighted/imatrix quants are available at https://huggingface.co/mradermacher/Golden-Curry-12B-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/Golden-Curry-12B-GGUF/resolve/main/Golden-Curry-12B.Q2_K.gguf) | Q2_K | 4.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-GGUF/resolve/main/Golden-Curry-12B.Q3_K_S.gguf) | Q3_K_S | 5.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-GGUF/resolve/main/Golden-Curry-12B.Q3_K_M.gguf) | Q3_K_M | 6.2 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-GGUF/resolve/main/Golden-Curry-12B.Q3_K_L.gguf) | Q3_K_L | 6.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-GGUF/resolve/main/Golden-Curry-12B.Q4_K_S.gguf) | Q4_K_S | 7.2 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-GGUF/resolve/main/Golden-Curry-12B.Q4_K_M.gguf) | Q4_K_M | 7.6 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-GGUF/resolve/main/Golden-Curry-12B.Q5_K_S.gguf) | Q5_K_S | 8.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-GGUF/resolve/main/Golden-Curry-12B.Q6_K.gguf) | Q6_K | 10.2 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-GGUF/resolve/main/Golden-Curry-12B.Q8_0.gguf) | Q8_0 | 13.1 | 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 -->