初始化项目，由ModelHub XC社区提供模型

Model: mradermacher/MegaSciMoE-1.2B-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
+MegaSciMoE-1.2B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+MegaSciMoE-1.2B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+MegaSciMoE-1.2B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+MegaSciMoE-1.2B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+MegaSciMoE-1.2B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+MegaSciMoE-1.2B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+MegaSciMoE-1.2B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+MegaSciMoE-1.2B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+MegaSciMoE-1.2B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+MegaSciMoE-1.2B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+MegaSciMoE-1.2B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+MegaSciMoE-1.2B.f16.gguf filter=lfs diff=lfs merge=lfs -text

MegaSciMoE-1.2B.IQ4_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:73b7f21b39c0451bfbbd29c1718757500a7aa2d1ae65c13e23996526c08893d5
+size 668618464

MegaSciMoE-1.2B.Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03d61218144af714f863d967d6e390fc3f7a3e5ef843176de1b4a8a5b1d25893
+size 483397344

MegaSciMoE-1.2B.Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:688c51d743064627d4850b6c8bf2f87c2244dd183c8d9b24dcb8cb3c08e49f8f
+size 635473632

MegaSciMoE-1.2B.Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a3cf8aee8a41a54e7aab34028e0928d167f24c3a72d9451bcc6ccf30acaecd25
+size 600346336

MegaSciMoE-1.2B.Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:24da209b4cacb7ff672ca7b7d51964c7157655155c0cfd58cc11cc81a85854a1
+size 558157536

MegaSciMoE-1.2B.Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3083a64e858e1fe7d0723e5badc76351426a5afe6e000a7cd17e11a2c552a60d
+size 730894048

MegaSciMoE-1.2B.Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:94f0cb1309baf380c8832b25f602ee600fe1ba3c0f10ce8dc41fcabbed48ef34
+size 700468960

MegaSciMoE-1.2B.Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7e4099e849e5e8ffc4f1da406fad1020025cae08cb440d6dc48215c855eb0314
+size 843353824

MegaSciMoE-1.2B.Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fdce894510ea30857af84b7c4e8edae58e9ae88dcd9ab5058ca3f54e19206464
+size 825249504

MegaSciMoE-1.2B.Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f91981d884cbfffada56473d0ed118706fd88cf938ab93b83ea400c38a45010f
+size 962842336

MegaSciMoE-1.2B.Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31e05572549bd55c379040f2de1f77f92769f42ea10df7573d6e20f7a7a1ddea
+size 1246252768

MegaSciMoE-1.2B.f16.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:601f4e268f2e1522ca66aa42d5b784881ae7bea4216fd9f60c3b49462f53ee0f
+size 2343325408

README.md

@@ -0,0 +1,79 @@
+---
+base_model: yasserrmd/MegaSciMoE-1.2B
+datasets:
+- MegaScience/MegaScience
+language:
+- en
+library_name: transformers
+license: apache-2.0
+mradermacher:
+  readme_rev: 1
+quantized_by: mradermacher
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- lfm2
+---
+## 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/yasserrmd/MegaSciMoE-1.2B
+
+<!-- provided-files -->
+
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#MegaSciMoE-1.2B-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/MegaSciMoE-1.2B-GGUF/resolve/main/MegaSciMoE-1.2B.Q2_K.gguf) | Q2_K | 0.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/MegaSciMoE-1.2B-GGUF/resolve/main/MegaSciMoE-1.2B.Q3_K_S.gguf) | Q3_K_S | 0.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/MegaSciMoE-1.2B-GGUF/resolve/main/MegaSciMoE-1.2B.Q3_K_M.gguf) | Q3_K_M | 0.7 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/MegaSciMoE-1.2B-GGUF/resolve/main/MegaSciMoE-1.2B.Q3_K_L.gguf) | Q3_K_L | 0.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/MegaSciMoE-1.2B-GGUF/resolve/main/MegaSciMoE-1.2B.IQ4_XS.gguf) | IQ4_XS | 0.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/MegaSciMoE-1.2B-GGUF/resolve/main/MegaSciMoE-1.2B.Q4_K_S.gguf) | Q4_K_S | 0.8 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/MegaSciMoE-1.2B-GGUF/resolve/main/MegaSciMoE-1.2B.Q4_K_M.gguf) | Q4_K_M | 0.8 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/MegaSciMoE-1.2B-GGUF/resolve/main/MegaSciMoE-1.2B.Q5_K_S.gguf) | Q5_K_S | 0.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/MegaSciMoE-1.2B-GGUF/resolve/main/MegaSciMoE-1.2B.Q5_K_M.gguf) | Q5_K_M | 0.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/MegaSciMoE-1.2B-GGUF/resolve/main/MegaSciMoE-1.2B.Q6_K.gguf) | Q6_K | 1.1 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/MegaSciMoE-1.2B-GGUF/resolve/main/MegaSciMoE-1.2B.Q8_0.gguf) | Q8_0 | 1.3 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/MegaSciMoE-1.2B-GGUF/resolve/main/MegaSciMoE-1.2B.f16.gguf) | f16 | 2.4 | 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 -->