初始化项目，由ModelHub XC社区提供模型

Model: mradermacher/CeluneNorm-0.6B-v2.0-ctx2048-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
+CeluneNorm-0.6B-v2.0-ctx2048.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+CeluneNorm-0.6B-v2.0-ctx2048.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+CeluneNorm-0.6B-v2.0-ctx2048.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+CeluneNorm-0.6B-v2.0-ctx2048.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+CeluneNorm-0.6B-v2.0-ctx2048.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+CeluneNorm-0.6B-v2.0-ctx2048.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+CeluneNorm-0.6B-v2.0-ctx2048.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+CeluneNorm-0.6B-v2.0-ctx2048.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+CeluneNorm-0.6B-v2.0-ctx2048.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+CeluneNorm-0.6B-v2.0-ctx2048.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+CeluneNorm-0.6B-v2.0-ctx2048.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+CeluneNorm-0.6B-v2.0-ctx2048.f16.gguf filter=lfs diff=lfs merge=lfs -text

CeluneNorm-0.6B-v2.0-ctx2048.IQ4_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4b5062e9ff74beba9fe6f51f9ce1246b99a4e3025538edafa9bf2c71dcc5e489
+size 369025408

CeluneNorm-0.6B-v2.0-ctx2048.Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:da419d1e05736b3431afbfa0bb0f92941d80475ef3461cdefb4bb709c67eeb52
+size 295985536

CeluneNorm-0.6B-v2.0-ctx2048.Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bb29297896e1f4ffcd1f35d1b8511db072b0c94f68c69f4b9bdeff3cabc11241
+size 368238976

CeluneNorm-0.6B-v2.0-ctx2048.Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0401ce6c826bf09c2d62e0c15e4ee6fe8bb127819a0bdb7fa921d53b3c656fa6
+size 346874240

CeluneNorm-0.6B-v2.0-ctx2048.Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:49ba11a56f00dda92d2fa1069a2565210955cce9b39906503223c3d49e7b55e2
+size 322822528

CeluneNorm-0.6B-v2.0-ctx2048.Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14c8f601d7efd1e410cfa2372be00af6d3f32914a763f5fb8e0b25201519c2f7
+size 396452224

CeluneNorm-0.6B-v2.0-ctx2048.Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bcef6a72a8f2815cd8dbfd3f5b82658860f5af1b44309a7e89ac1c7e5be8d617
+size 383017344

CeluneNorm-0.6B-v2.0-ctx2048.Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8fba55ed9d2ccd37745b4d9470b907c95845be1cedeff8444b7f1f9ba23bdef
+size 444162432

CeluneNorm-0.6B-v2.0-ctx2048.Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:13841f4e89cf94b7ea5aae015ddf70502149537b2816d175bde81bf9673bad60
+size 436363648

CeluneNorm-0.6B-v2.0-ctx2048.Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:95ceb192ca86594adf6fc3844ece768921af0d5f56f92bce22a4992bc90ad38c
+size 494854528

CeluneNorm-0.6B-v2.0-ctx2048.Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:624f48f24392af8eb304d64f9720c9441e82f5c3acfa4c7916da3f13ef86a3ac
+size 639122816

CeluneNorm-0.6B-v2.0-ctx2048.f16.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:52d12abe2f424074d44a77cabbd02130cafa0a669c2fd8dab9383b74cdd35d97
+size 1197580736

README.md

@@ -0,0 +1,77 @@
+---
+base_model: lunahr/CeluneNorm-0.6B-v2.0-ctx2048
+datasets:
+- lunahr/normalization-data-mixed
+language:
+- en
+library_name: transformers
+license: mit
+mradermacher:
+  readme_rev: 1
+quantized_by: mradermacher
+tags:
+- text-transformation
+- text-normalization
+---
+## 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/lunahr/CeluneNorm-0.6B-v2.0-ctx2048
+
+<!-- provided-files -->
+
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#CeluneNorm-0.6B-v2.0-ctx2048-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/CeluneNorm-0.6B-v2.0-ctx2048-GGUF/resolve/main/CeluneNorm-0.6B-v2.0-ctx2048.Q2_K.gguf) | Q2_K | 0.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/CeluneNorm-0.6B-v2.0-ctx2048-GGUF/resolve/main/CeluneNorm-0.6B-v2.0-ctx2048.Q3_K_S.gguf) | Q3_K_S | 0.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/CeluneNorm-0.6B-v2.0-ctx2048-GGUF/resolve/main/CeluneNorm-0.6B-v2.0-ctx2048.Q3_K_M.gguf) | Q3_K_M | 0.4 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/CeluneNorm-0.6B-v2.0-ctx2048-GGUF/resolve/main/CeluneNorm-0.6B-v2.0-ctx2048.Q3_K_L.gguf) | Q3_K_L | 0.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/CeluneNorm-0.6B-v2.0-ctx2048-GGUF/resolve/main/CeluneNorm-0.6B-v2.0-ctx2048.IQ4_XS.gguf) | IQ4_XS | 0.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/CeluneNorm-0.6B-v2.0-ctx2048-GGUF/resolve/main/CeluneNorm-0.6B-v2.0-ctx2048.Q4_K_S.gguf) | Q4_K_S | 0.5 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/CeluneNorm-0.6B-v2.0-ctx2048-GGUF/resolve/main/CeluneNorm-0.6B-v2.0-ctx2048.Q4_K_M.gguf) | Q4_K_M | 0.5 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/CeluneNorm-0.6B-v2.0-ctx2048-GGUF/resolve/main/CeluneNorm-0.6B-v2.0-ctx2048.Q5_K_S.gguf) | Q5_K_S | 0.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/CeluneNorm-0.6B-v2.0-ctx2048-GGUF/resolve/main/CeluneNorm-0.6B-v2.0-ctx2048.Q5_K_M.gguf) | Q5_K_M | 0.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/CeluneNorm-0.6B-v2.0-ctx2048-GGUF/resolve/main/CeluneNorm-0.6B-v2.0-ctx2048.Q6_K.gguf) | Q6_K | 0.6 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/CeluneNorm-0.6B-v2.0-ctx2048-GGUF/resolve/main/CeluneNorm-0.6B-v2.0-ctx2048.Q8_0.gguf) | Q8_0 | 0.7 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/CeluneNorm-0.6B-v2.0-ctx2048-GGUF/resolve/main/CeluneNorm-0.6B-v2.0-ctx2048.f16.gguf) | f16 | 1.3 | 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 -->