初始化项目，由ModelHub XC社区提供模型

Model: mradermacher/taraV2-M16B-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
+taraV2-M16B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+taraV2-M16B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+taraV2-M16B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+taraV2-M16B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+taraV2-M16B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+taraV2-M16B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+taraV2-M16B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+taraV2-M16B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+taraV2-M16B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+taraV2-M16B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+taraV2-M16B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+taraV2-M16B.f16.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,75 @@
+---
+base_model: Gragroo/taraV2-M16B
+language:
+- en
+library_name: transformers
+license: apache-2.0
+mradermacher:
+  readme_rev: 1
+quantized_by: mradermacher
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- llama
+- trl
+---
+## About
+
+<!-- ### quantize_version: 2 -->
+<!-- ### output_tensor_quantised: 1 -->
+<!-- ### convert_type: hf -->
+<!-- ### vocab_type:  -->
+<!-- ### tags:  -->
+static quants of https://huggingface.co/Gragroo/taraV2-M16B
+
+<!-- provided-files -->
+
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#taraV2-M16B-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/taraV2-M16B-GGUF/resolve/main/taraV2-M16B.Q2_K.gguf) | Q2_K | 1.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/taraV2-M16B-GGUF/resolve/main/taraV2-M16B.Q3_K_S.gguf) | Q3_K_S | 1.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/taraV2-M16B-GGUF/resolve/main/taraV2-M16B.Q3_K_M.gguf) | Q3_K_M | 1.8 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/taraV2-M16B-GGUF/resolve/main/taraV2-M16B.Q3_K_L.gguf) | Q3_K_L | 1.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/taraV2-M16B-GGUF/resolve/main/taraV2-M16B.IQ4_XS.gguf) | IQ4_XS | 1.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/taraV2-M16B-GGUF/resolve/main/taraV2-M16B.Q4_K_S.gguf) | Q4_K_S | 2.0 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/taraV2-M16B-GGUF/resolve/main/taraV2-M16B.Q4_K_M.gguf) | Q4_K_M | 2.1 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/taraV2-M16B-GGUF/resolve/main/taraV2-M16B.Q5_K_S.gguf) | Q5_K_S | 2.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/taraV2-M16B-GGUF/resolve/main/taraV2-M16B.Q5_K_M.gguf) | Q5_K_M | 2.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/taraV2-M16B-GGUF/resolve/main/taraV2-M16B.Q6_K.gguf) | Q6_K | 2.7 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/taraV2-M16B-GGUF/resolve/main/taraV2-M16B.Q8_0.gguf) | Q8_0 | 3.5 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/taraV2-M16B-GGUF/resolve/main/taraV2-M16B.f16.gguf) | f16 | 6.5 | 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 -->

taraV2-M16B.IQ4_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1043465edfbb6c9aa2a30c4a1d659265828ea97c2350cde01db3dc8568b8127f
+size 1840907904

taraV2-M16B.Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b73fda4db60419156b33c7dc0e1008ec16d0de15cc14d9643fd43c3859d688e6
+size 1363936896

taraV2-M16B.Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e5112288dec1465f531bd397674fcbdd2940c303f93825285c397d0786f16345
+size 1815348864

taraV2-M16B.Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:445c411ed8fd3e3364c73584baaaa668fc900e77fb1272e7f70ada7622260fed
+size 1687160448

taraV2-M16B.Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d1fdb0f0f5919c2f22628cd38db391ea74e79f574406da5b80a511df0827863
+size 1542850176

taraV2-M16B.Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fddbd07e834aead7a44c95a01202608860d2da8e1e10783e635ee145a8f1946a
+size 2019378816

taraV2-M16B.Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cd27063acba0306e569b828a2fc024cf083d4510cfa92ec3ec2328e3093ebb9e
+size 1928201856

taraV2-M16B.Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:baa724607f4efdf11e3717b256996d8a201682b4dbc3f20eaa6235b9158eece1
+size 2322155136

taraV2-M16B.Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:38fea48c6d04369850a79766ed1031d4e33aacdad4ddadae1b3dbd22181be875
+size 2269513344

taraV2-M16B.Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:77371905a5d9649fb375f1f921c59f20050916213786a1b7e8d79b8a9d726d60
+size 2643854976

taraV2-M16B.Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ff4ceeec8ed0cd456e200dd4271037717def1c39d5d0ee8d0849e6baf669e0d
+size 3421900416

taraV2-M16B.f16.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1a5b8e4b427a1e052b9ec9f40b2e60459814b82efcde865b52879eb2144bbb4f
+size 6433689216