auto-patch README.md

README.md

@@ -1,3 +1,74 @@
+---
+base_model: abacusai/Smaug-34B-v0.1
+exported_from: ValiantLabs/Fireplace-34b
+language:
+- en
+library_name: transformers
+license: other
+license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
+license_name: yi-license
+model_type: llama
+quantized_by: mradermacher
+tags:
+- fireplace
+- function-calling
+- code
+- code-instruct
+- conversational
+- text-generation-inference
+- valiant
+- valiant-labs
+- smaug
+- yi
+- yi-34b
+- llama
+- llama-2
+- llama-2-chat
+- 34b
+---
+## About
+
 <!-- ### convert_type:  -->
 <!-- ### vocab_type:  -->
 static quants of https://huggingface.co/ValiantLabs/Fireplace-34b
+
+
+<!-- provided-files -->
+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/Fireplace-34b-GGUF/resolve/main/Fireplace-34b.Q2_K.gguf) | Q2_K | 14.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/Fireplace-34b-GGUF/resolve/main/Fireplace-34b.Q3_K_S.gguf) | Q3_K_S | 16.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/Fireplace-34b-GGUF/resolve/main/Fireplace-34b.IQ3_S.gguf) | IQ3_S | 16.6 | beats Q3_K* |
+| [GGUF](https://huggingface.co/mradermacher/Fireplace-34b-GGUF/resolve/main/Fireplace-34b.Q3_K_M.gguf) | Q3_K_M | 18.2 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Fireplace-34b-GGUF/resolve/main/Fireplace-34b.Q3_K_L.gguf) | Q3_K_L | 19.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/Fireplace-34b-GGUF/resolve/main/Fireplace-34b.Q4_K_S.gguf) | Q4_K_S | 21.2 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Fireplace-34b-GGUF/resolve/main/Fireplace-34b.Q6_K.gguf) | Q6_K | 29.8 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/Fireplace-34b-GGUF/resolve/main/Fireplace-34b.Q8_0.gguf) | Q8_0 | 38.0 | 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
+
+## 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 -->