初始化项目，由ModelHub XC社区提供模型

Model: mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF
Source: Original Platform

.gitattributes

@@ -0,0 +1,60 @@
+*.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
+DeepBrainz-R1-0.6B-v2.imatrix.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-IQ1_M.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-IQ1_S.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-IQ2_S.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-IQ2_XS.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-IQ2_XXS.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-IQ3_S.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-IQ3_XXS.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-Q2_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-Q4_1.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+DeepBrainz-R1-0.6B-v2.i1-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text

DeepBrainz-R1-0.6B-v2.i1-IQ1_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ce26d1bb316ae233b602f85421d30e81190a624cd59d1eb871ce90a2bde11e1f
+size 267098720

DeepBrainz-R1-0.6B-v2.i1-IQ1_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84c21fdfe77a67201f82f2c5e5f1eee2ec8980dd114a341e382af6af3d44b0a7
+size 259062368

DeepBrainz-R1-0.6B-v2.i1-IQ2_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f202ccaf442ad421a973072515db8ad5a83b39341a483a146891af24016ade1e
+size 331757152

DeepBrainz-R1-0.6B-v2.i1-IQ2_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2c36d23178fba56489e2488ce3bc530be1784041f0044f7f10f99f8e8e2f6a40
+size 321042016

DeepBrainz-R1-0.6B-v2.i1-IQ2_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2560ad1007382acaeb176a2a0902e4586e32c080be9b9e43f060a9b8ca201970
+size 293042784

DeepBrainz-R1-0.6B-v2.i1-IQ2_XXS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e13b402d7f4026d2ed32116e69658b5f6239d2e5758f9222e2ac01d826f6d56
+size 280492640

DeepBrainz-R1-0.6B-v2.i1-IQ3_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3139eadebfc550679c881c8d51c5d90c0c8921af3ae7305a4e6d9a0c9b37fbe9
+size 402874976

DeepBrainz-R1-0.6B-v2.i1-IQ3_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:938c4b9a9814bd3f47d416eb0c9b3b8efe42479d7eb35610b5c098986d950baf
+size 389923424

DeepBrainz-R1-0.6B-v2.i1-IQ3_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ce6bf66c999344f97ccd40ae280d86971c689bfa76cfbdaaa190c248ecd967e
+size 379601504

DeepBrainz-R1-0.6B-v2.i1-IQ3_XXS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1a79bd27fd674b6a6d14438c36d25ea98fbe8d360389b56354b9bed14d2bf3d3
+size 345863776

DeepBrainz-R1-0.6B-v2.i1-IQ4_NL.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:13e781f8be269ac4c9d317bc04bf02a27e866232c059156e6ba74b10097651c4
+size 469077600

DeepBrainz-R1-0.6B-v2.i1-IQ4_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f6d47dbd6e41cfbb34e4b60008d82016f9e280bccc54990e2a3f0dcc62e8302f
+size 450453088

DeepBrainz-R1-0.6B-v2.i1-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1d88b8e2b3bd71ba5c7b3801c8d239e0536d29530bb2df0e4f58105ef2126c52
+size 347285088

DeepBrainz-R1-0.6B-v2.i1-Q2_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:83ae2f7f4a025fe3b3313f2889bc2a5a93c13ddd3e2a56fe291432fc5e4aede1
+size 331605600

DeepBrainz-R1-0.6B-v2.i1-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bcb6984252d116676832bf8b0104f92888f195f2c91c521b5d52f63cfe1da57a
+size 435339872

DeepBrainz-R1-0.6B-v2.i1-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac4a6d3b639d4afa7e8e248eb2c9814e0dcf246a590f159a8360cc7db0114714
+size 413975136

DeepBrainz-R1-0.6B-v2.i1-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4339492da3d373931f941ce7404d6e68a2688b3780690d2330f7da7bd0354cca
+size 389923424

DeepBrainz-R1-0.6B-v2.i1-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7319537dd5ca659d71057591cbb10b718b043af7c2d7ebfbc4dbfbc2076d285c
+size 469667424

DeepBrainz-R1-0.6B-v2.i1-Q4_1.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:01e50f8657acc7b6e234f0d68da0d341d7ba8f1a1374e72ffb07bf81e2f1aae7
+size 506326624

DeepBrainz-R1-0.6B-v2.i1-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:023f993cef96b5114cd2c91d6ed6a03ff0cb57b72b4d379ab94469990ea7e6e2
+size 484216416

DeepBrainz-R1-0.6B-v2.i1-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:056380592a2f127f0f392849fd4f8b869cbe52d62b26ec9a1cb27ee0859fc9ca
+size 470781536

DeepBrainz-R1-0.6B-v2.i1-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aba47e6aa6b826a0c608773355ae28512d7cbe4b53bf43a48ce4cb9b75551390
+size 551374432

DeepBrainz-R1-0.6B-v2.i1-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a4478c0061e319c01efdb2fe0c657a67a0a6dc23f1da3f0efb0d25c368074de1
+size 543575648

DeepBrainz-R1-0.6B-v2.i1-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:09fea7d0968dd6ae8f219822db2c19d10c968c8fc5bf030718d49c8323f2778f
+size 622729824

DeepBrainz-R1-0.6B-v2.imatrix.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4d9ab89ed02b5f6402aec162a058882f25a0ae6146e4126f65030665508cd2d4
+size 1177056

README.md

@@ -0,0 +1,92 @@
+---
+base_model: DeepBrainz/DeepBrainz-R1-0.6B-v2
+language:
+- en
+library_name: transformers
+license: apache-2.0
+mradermacher:
+  readme_rev: 1
+quantized_by: mradermacher
+tags:
+- deepbrainz
+- reasoning
+- mathematics
+- code
+- enterprise
+- 0.6b
+---
+## About
+
+<!-- ### quantize_version: 2 -->
+<!-- ### output_tensor_quantised: 1 -->
+<!-- ### convert_type: hf -->
+<!-- ### vocab_type:  -->
+<!-- ### tags: nicoboss -->
+<!-- ### quants:  Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->
+<!-- ### quants_skip:  -->
+<!-- ### skip_mmproj:  -->
+weighted/imatrix quants of https://huggingface.co/DeepBrainz/DeepBrainz-R1-0.6B-v2
+
+<!-- provided-files -->
+
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#DeepBrainz-R1-0.6B-v2-i1-GGUF).***
+
+static quants are available at https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-GGUF
+## 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/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-IQ1_S.gguf) | i1-IQ1_S | 0.4 | for the desperate |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-IQ1_M.gguf) | i1-IQ1_M | 0.4 | mostly desperate |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-IQ2_S.gguf) | i1-IQ2_S | 0.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.4 | very low quality |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-IQ2_M.gguf) | i1-IQ2_M | 0.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.4 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-Q2_K.gguf) | i1-Q2_K | 0.4 | IQ3_XXS probably better |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-IQ3_S.gguf) | i1-IQ3_S | 0.5 | beats Q3_K* |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-Q3_K_S.gguf) | i1-Q3_K_S | 0.5 | IQ3_XS probably better |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-IQ3_M.gguf) | i1-IQ3_M | 0.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-Q3_K_M.gguf) | i1-Q3_K_M | 0.5 | IQ3_S probably better |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-Q3_K_L.gguf) | i1-Q3_K_L | 0.5 | IQ3_M probably better |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-IQ4_XS.gguf) | i1-IQ4_XS | 0.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-IQ4_NL.gguf) | i1-IQ4_NL | 0.6 | prefer IQ4_XS |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-Q4_0.gguf) | i1-Q4_0 | 0.6 | fast, low quality |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-Q4_K_S.gguf) | i1-Q4_K_S | 0.6 | optimal size/speed/quality |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-Q4_K_M.gguf) | i1-Q4_K_M | 0.6 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-Q4_1.gguf) | i1-Q4_1 | 0.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-Q5_K_S.gguf) | i1-Q5_K_S | 0.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-Q5_K_M.gguf) | i1-Q5_K_M | 0.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/DeepBrainz-R1-0.6B-v2-i1-GGUF/resolve/main/DeepBrainz-R1-0.6B-v2.i1-Q6_K.gguf) | i1-Q6_K | 0.7 | practically like static Q6_K |
+
+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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
+
+<!-- end -->