初始化项目，由ModelHub XC社区提供模型

Model: mradermacher/EdNa-LoRa-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
+EdNa-LoRa.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+EdNa-LoRa.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+EdNa-LoRa.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+EdNa-LoRa.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+EdNa-LoRa.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+EdNa-LoRa.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+EdNa-LoRa.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+EdNa-LoRa.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+EdNa-LoRa.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+EdNa-LoRa.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+EdNa-LoRa.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+EdNa-LoRa.f16.gguf filter=lfs diff=lfs merge=lfs -text

EdNa-LoRa.IQ4_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0993d241bb6e1cacd45d4ab693a2a300baf1645f9610038f2bfa6c2f2e1ec491
+size 369278016

EdNa-LoRa.Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d923bf6a40fba8cbad865e58b71d75997a738f66f63e125d7e93d9ac4dbdcad
+size 296238144

EdNa-LoRa.Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84fac862dcd47b2f6e9079a4a9ca12786b65cf0b44c079e7baa51339d5ff195f
+size 368491584

EdNa-LoRa.Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6e25e4ecbd48e8f2f296d403e0abbf01b1bdc295a92ef3730352d9f6abf16c53
+size 347126848

EdNa-LoRa.Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:47ab0407c7380f703ca0d9416754521ad4398740c29c3eb82bf8c044730662dd
+size 323075136

EdNa-LoRa.Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fbd5033a5dfcbe4a3b77231a470e29e7b74dcf71b107761de87555e4ac89556f
+size 396704832

EdNa-LoRa.Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ce0957585431664cb74f74b30aedc59b524c695e2f1c88c3779b11f59f84654b
+size 383269952

EdNa-LoRa.Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6a987527be41b879494f3e8c829b76d721778f9d5e4639701cb5884995174b05
+size 444415040

EdNa-LoRa.Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0007686b944a0bf3ba05327bb0ab5cb2ee483498270a7b8a63c153873808a6a4
+size 436616256

EdNa-LoRa.Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ed73a2f51ff8b160f5ab4730e92195be7741ebbff4a8793c70e63b508b905a58
+size 495107136

EdNa-LoRa.Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d3118c4fd3244b659900dba802ec0d311808f6ae75669fad90b1e9bf8f39535
+size 639447104

EdNa-LoRa.f16.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:96cdc0563cc88fe7ee1c20a776db2188c9bb31d337b98903d1fddebca45dfb42
+size 1198182464

README.md

@@ -0,0 +1,63 @@
+---
+base_model: HAissa/EdNa-LoRa
+language:
+- en
+library_name: transformers
+quantized_by: mradermacher
+---
+## About
+
+<!-- ### quantize_version: 2 -->
+<!-- ### output_tensor_quantised: 1 -->
+<!-- ### convert_type: hf -->
+<!-- ### vocab_type:  -->
+<!-- ### tags:  -->
+static quants of https://huggingface.co/HAissa/EdNa-LoRa
+
+<!-- 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/EdNa-LoRa-GGUF/resolve/main/EdNa-LoRa.Q2_K.gguf) | Q2_K | 0.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/EdNa-LoRa-GGUF/resolve/main/EdNa-LoRa.Q3_K_S.gguf) | Q3_K_S | 0.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/EdNa-LoRa-GGUF/resolve/main/EdNa-LoRa.Q3_K_M.gguf) | Q3_K_M | 0.4 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/EdNa-LoRa-GGUF/resolve/main/EdNa-LoRa.Q3_K_L.gguf) | Q3_K_L | 0.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/EdNa-LoRa-GGUF/resolve/main/EdNa-LoRa.IQ4_XS.gguf) | IQ4_XS | 0.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/EdNa-LoRa-GGUF/resolve/main/EdNa-LoRa.Q4_K_S.gguf) | Q4_K_S | 0.5 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/EdNa-LoRa-GGUF/resolve/main/EdNa-LoRa.Q4_K_M.gguf) | Q4_K_M | 0.5 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/EdNa-LoRa-GGUF/resolve/main/EdNa-LoRa.Q5_K_S.gguf) | Q5_K_S | 0.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/EdNa-LoRa-GGUF/resolve/main/EdNa-LoRa.Q5_K_M.gguf) | Q5_K_M | 0.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/EdNa-LoRa-GGUF/resolve/main/EdNa-LoRa.Q6_K.gguf) | Q6_K | 0.6 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/EdNa-LoRa-GGUF/resolve/main/EdNa-LoRa.Q8_0.gguf) | Q8_0 | 0.7 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/EdNa-LoRa-GGUF/resolve/main/EdNa-LoRa.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 -->