初始化项目，由ModelHub XC社区提供模型

Model: mradermacher/Aurora-One-Mini-GGUF
Source: Original Platform

.gitattributes

@@ -0,0 +1,47 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+Aurora-One-Mini.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+Aurora-One-Mini.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Aurora-One-Mini.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Aurora-One-Mini.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Aurora-One-Mini.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Aurora-One-Mini.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Aurora-One-Mini.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Aurora-One-Mini.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Aurora-One-Mini.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Aurora-One-Mini.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Aurora-One-Mini.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+Aurora-One-Mini.f16.gguf filter=lfs diff=lfs merge=lfs -text

Aurora-One-Mini.IQ4_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b0810bdcf00adc54cbaa46f9a623ef583952d92b7d5077888f00faf0bc5f23b1
+size 82561664

Aurora-One-Mini.Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:455a34853f42a3685559673094fa33ffe40987a9ba2172c874f32ef82ade6fa0
+size 70691456

Aurora-One-Mini.Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1cc8caae98ead650413255452845c9a13f4de66bd6995c7d92cc31ef88434d24
+size 88164992

Aurora-One-Mini.Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b9c767649f72024adaa1767ad8fd38b4a53aa3e037780c5fab540e75970cc538
+size 81529472

Aurora-One-Mini.Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0c84deeb7ee4cd6fe6dd41f7f9085d3f47b528ad5517996d09effb15a3f39b07
+size 73566848

Aurora-One-Mini.Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4a50ed58cb49a5aefb0b9409518bd5efc5b46c1dd27d11cfb28dad1aae4d9168
+size 91233920

Aurora-One-Mini.Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fbc0efa148048db1662a2fcbf52a39b35bcc92cc1eacde16847bb7b5ed7544be
+size 86026880

Aurora-One-Mini.Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1f76d53b5eca5062ede490d082d5d20ef7b0d3853daa3d26b52e989f27fb3c63
+size 98754176

Aurora-One-Mini.Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2a4d764ed18fd8995496fb609849b5e5beba396a3a5a6b6fd609f978c39da793
+size 95464064

Aurora-One-Mini.Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:424b3b9c9cab37c42669244d073f10ae4a8f3041e61d1105080d37e278168009
+size 106744448

Aurora-One-Mini.Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e7c2fb7d0142a59bf71ef652313809d1b4215b60e64057fe519ff83e9679be51
+size 136663104

Aurora-One-Mini.f16.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0918dc9752f1c4bfc4d71d2e3d034f69feb9a22be2ee708d309c0241ba1381dd
+size 252477248

README.md

@@ -0,0 +1,76 @@
+---
+base_model: North-ML1/Aurora-One-Mini
+language:
+- en
+library_name: transformers
+mradermacher:
+  readme_rev: 1
+quantized_by: mradermacher
+tags:
+- causal-lm
+- text-generation
+- gpt2
+- small-language-model
+---
+## About
+
+<!-- ### quantize_version: 2 -->
+<!-- ### output_tensor_quantised: 1 -->
+<!-- ### convert_type: hf -->
+<!-- ### vocab_type:  -->
+<!-- ### tags:  -->
+<!-- ### quants:  x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
+<!-- ### quants_skip:  -->
+<!-- ### skip_mmproj:  -->
+static quants of https://huggingface.co/North-ML1/Aurora-One-Mini
+
+<!-- provided-files -->
+
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Aurora-One-Mini-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/Aurora-One-Mini-GGUF/resolve/main/Aurora-One-Mini.Q2_K.gguf) | Q2_K | 0.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Aurora-One-Mini-GGUF/resolve/main/Aurora-One-Mini.Q3_K_S.gguf) | Q3_K_S | 0.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Aurora-One-Mini-GGUF/resolve/main/Aurora-One-Mini.Q3_K_M.gguf) | Q3_K_M | 0.2 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Aurora-One-Mini-GGUF/resolve/main/Aurora-One-Mini.IQ4_XS.gguf) | IQ4_XS | 0.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Aurora-One-Mini-GGUF/resolve/main/Aurora-One-Mini.Q4_K_S.gguf) | Q4_K_S | 0.2 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Aurora-One-Mini-GGUF/resolve/main/Aurora-One-Mini.Q3_K_L.gguf) | Q3_K_L | 0.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Aurora-One-Mini-GGUF/resolve/main/Aurora-One-Mini.Q4_K_M.gguf) | Q4_K_M | 0.2 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Aurora-One-Mini-GGUF/resolve/main/Aurora-One-Mini.Q5_K_S.gguf) | Q5_K_S | 0.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Aurora-One-Mini-GGUF/resolve/main/Aurora-One-Mini.Q5_K_M.gguf) | Q5_K_M | 0.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Aurora-One-Mini-GGUF/resolve/main/Aurora-One-Mini.Q6_K.gguf) | Q6_K | 0.2 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/Aurora-One-Mini-GGUF/resolve/main/Aurora-One-Mini.Q8_0.gguf) | Q8_0 | 0.2 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/Aurora-One-Mini-GGUF/resolve/main/Aurora-One-Mini.f16.gguf) | f16 | 0.4 | 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 -->