初始化项目，由ModelHub XC社区提供模型

Model: bartowski/allura-org_remnant-mn-12b-GGUF
Source: Original Platform

.gitattributes

@@ -0,0 +1,49 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 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
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack 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
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* 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
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*.tfevents* filter=lfs diff=lfs merge=lfs -text
+*.db* filter=lfs diff=lfs merge=lfs -text
+*.ark* filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.gguf* filter=lfs diff=lfs merge=lfs -text
+*.ggml filter=lfs diff=lfs merge=lfs -text
+*.llamafile* filter=lfs diff=lfs merge=lfs -text
+*.pt2 filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+
+allura-org_remnant-mn-12b.imatrix filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,172 @@
+---
+quantized_by: bartowski
+pipeline_tag: text-generation
+base_model: allura-org/remnant-mn-12b
+license: apache-2.0
+tags:
+- roleplay
+- conversational
+- axolotl
+base_model_relation: quantized
+---
+
+## Llamacpp imatrix Quantizations of remnant-mn-12b by allura-org
+
+Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b5270">b5270</a> for quantization.
+
+Original model: https://huggingface.co/allura-org/remnant-mn-12b
+
+All quants made using imatrix option with dataset from [here](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8)
+
+Run them in [LM Studio](https://lmstudio.ai/)
+
+Run them directly with [llama.cpp](https://github.com/ggerganov/llama.cpp), or any other llama.cpp based project
+
+## Prompt format
+
+```
+<s>[SYSTEM_PROMPT]{system_prompt}[/SYSTEM_PROMPT][INST]{prompt}[/INST]
+```
+
+## Download a file (not the whole branch) from below:
+
+| Filename | Quant type | File Size | Split | Description |
+| -------- | ---------- | --------- | ----- | ----------- |
+| [remnant-mn-12b-bf16.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-bf16.gguf) | bf16 | 24.50GB | false | Full BF16 weights. |
+| [remnant-mn-12b-Q8_0.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-Q8_0.gguf) | Q8_0 | 13.02GB | false | Extremely high quality, generally unneeded but max available quant. |
+| [remnant-mn-12b-Q6_K_L.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-Q6_K_L.gguf) | Q6_K_L | 10.38GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. |
+| [remnant-mn-12b-Q6_K.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-Q6_K.gguf) | Q6_K | 10.06GB | false | Very high quality, near perfect, *recommended*. |
+| [remnant-mn-12b-Q5_K_L.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-Q5_K_L.gguf) | Q5_K_L | 9.14GB | false | Uses Q8_0 for embed and output weights. High quality, *recommended*. |
+| [remnant-mn-12b-Q5_K_M.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-Q5_K_M.gguf) | Q5_K_M | 8.73GB | false | High quality, *recommended*. |
+| [remnant-mn-12b-Q5_K_S.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-Q5_K_S.gguf) | Q5_K_S | 8.52GB | false | High quality, *recommended*. |
+| [remnant-mn-12b-Q4_K_L.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-Q4_K_L.gguf) | Q4_K_L | 7.98GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. |
+| [remnant-mn-12b-Q4_1.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-Q4_1.gguf) | Q4_1 | 7.80GB | false | Legacy format, similar performance to Q4_K_S but with improved tokens/watt on Apple silicon. |
+| [remnant-mn-12b-Q4_K_M.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-Q4_K_M.gguf) | Q4_K_M | 7.48GB | false | Good quality, default size for most use cases, *recommended*. |
+| [remnant-mn-12b-Q3_K_XL.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-Q3_K_XL.gguf) | Q3_K_XL | 7.15GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. |
+| [remnant-mn-12b-Q4_K_S.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-Q4_K_S.gguf) | Q4_K_S | 7.12GB | false | Slightly lower quality with more space savings, *recommended*. |
+| [remnant-mn-12b-IQ4_NL.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-IQ4_NL.gguf) | IQ4_NL | 7.10GB | false | Similar to IQ4_XS, but slightly larger. Offers online repacking for ARM CPU inference. |
+| [remnant-mn-12b-Q4_0.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-Q4_0.gguf) | Q4_0 | 7.09GB | false | Legacy format, offers online repacking for ARM and AVX CPU inference. |
+| [remnant-mn-12b-IQ4_XS.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-IQ4_XS.gguf) | IQ4_XS | 6.74GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
+| [remnant-mn-12b-Q3_K_L.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-Q3_K_L.gguf) | Q3_K_L | 6.56GB | false | Lower quality but usable, good for low RAM availability. |
+| [remnant-mn-12b-Q3_K_M.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-Q3_K_M.gguf) | Q3_K_M | 6.08GB | false | Low quality. |
+| [remnant-mn-12b-IQ3_M.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-IQ3_M.gguf) | IQ3_M | 5.72GB | false | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
+| [remnant-mn-12b-Q3_K_S.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-Q3_K_S.gguf) | Q3_K_S | 5.53GB | false | Low quality, not recommended. |
+| [remnant-mn-12b-Q2_K_L.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-Q2_K_L.gguf) | Q2_K_L | 5.45GB | false | Uses Q8_0 for embed and output weights. Very low quality but surprisingly usable. |
+| [remnant-mn-12b-IQ3_XS.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-IQ3_XS.gguf) | IQ3_XS | 5.31GB | false | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
+| [remnant-mn-12b-IQ3_XXS.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-IQ3_XXS.gguf) | IQ3_XXS | 4.95GB | false | Lower quality, new method with decent performance, comparable to Q3 quants. |
+| [remnant-mn-12b-Q2_K.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-Q2_K.gguf) | Q2_K | 4.79GB | false | Very low quality but surprisingly usable. |
+| [remnant-mn-12b-IQ2_M.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-IQ2_M.gguf) | IQ2_M | 4.44GB | false | Relatively low quality, uses SOTA techniques to be surprisingly usable. |
+| [remnant-mn-12b-IQ2_S.gguf](https://huggingface.co/bartowski/allura-org_remnant-mn-12b-GGUF/blob/main/allura-org_remnant-mn-12b-IQ2_S.gguf) | IQ2_S | 4.14GB | false | Low quality, uses SOTA techniques to be usable. |
+
+## Embed/output weights
+
+Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to.
+
+## Downloading using huggingface-cli
+
+<details>
+  <summary>Click to view download instructions</summary>
+
+First, make sure you have hugginface-cli installed:
+
+```
+pip install -U "huggingface_hub[cli]"
+```
+
+Then, you can target the specific file you want:
+
+```
+huggingface-cli download bartowski/allura-org_remnant-mn-12b-GGUF --include "allura-org_remnant-mn-12b-Q4_K_M.gguf" --local-dir ./
+```
+
+If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run:
+
+```
+huggingface-cli download bartowski/allura-org_remnant-mn-12b-GGUF --include "allura-org_remnant-mn-12b-Q8_0/*" --local-dir ./
+```
+
+You can either specify a new local-dir (allura-org_remnant-mn-12b-Q8_0) or download them all in place (./)
+
+</details>
+
+## ARM/AVX information
+
+Previously, you would download Q4_0_4_4/4_8/8_8, and these would have their weights interleaved in memory in order to improve performance on ARM and AVX machines by loading up more data in one pass.
+
+Now, however, there is something called "online repacking" for weights. details in [this PR](https://github.com/ggerganov/llama.cpp/pull/9921). If you use Q4_0 and your hardware would benefit from repacking weights, it will do it automatically on the fly.
+
+As of llama.cpp build [b4282](https://github.com/ggerganov/llama.cpp/releases/tag/b4282) you will not be able to run the Q4_0_X_X files and will instead need to use Q4_0.
+
+Additionally, if you want to get slightly better quality for , you can use IQ4_NL thanks to [this PR](https://github.com/ggerganov/llama.cpp/pull/10541) which will also repack the weights for ARM, though only the 4_4 for now. The loading time may be slower but it will result in an overall speed incrase.
+
+<details>
+  <summary>Click to view Q4_0_X_X information (deprecated</summary>
+
+I'm keeping this section to show the potential theoretical uplift in performance from using the Q4_0 with online repacking.
+
+<details>
+  <summary>Click to view benchmarks on an AVX2 system (EPYC7702)</summary>
+
+| model                          |       size |     params | backend    | threads |          test |                  t/s |  % (vs Q4_0)  |
+| ------------------------------ | ---------: | ---------: | ---------- | ------: | ------------: | -------------------: |-------------: |
+| qwen2 3B Q4_0                  |   1.70 GiB |     3.09 B | CPU        |      64 |         pp512 |        204.03 ± 1.03 |          100% |
+| qwen2 3B Q4_0                  |   1.70 GiB |     3.09 B | CPU        |      64 |        pp1024 |        282.92 ± 0.19 |          100% |
+| qwen2 3B Q4_0                  |   1.70 GiB |     3.09 B | CPU        |      64 |        pp2048 |        259.49 ± 0.44 |          100% |
+| qwen2 3B Q4_0                  |   1.70 GiB |     3.09 B | CPU        |      64 |         tg128 |         39.12 ± 0.27 |          100% |
+| qwen2 3B Q4_0                  |   1.70 GiB |     3.09 B | CPU        |      64 |         tg256 |         39.31 ± 0.69 |          100% |
+| qwen2 3B Q4_0                  |   1.70 GiB |     3.09 B | CPU        |      64 |         tg512 |         40.52 ± 0.03 |          100% |
+| qwen2 3B Q4_K_M                |   1.79 GiB |     3.09 B | CPU        |      64 |         pp512 |        301.02 ± 1.74 |          147% |
+| qwen2 3B Q4_K_M                |   1.79 GiB |     3.09 B | CPU        |      64 |        pp1024 |        287.23 ± 0.20 |          101% |
+| qwen2 3B Q4_K_M                |   1.79 GiB |     3.09 B | CPU        |      64 |        pp2048 |        262.77 ± 1.81 |          101% |
+| qwen2 3B Q4_K_M                |   1.79 GiB |     3.09 B | CPU        |      64 |         tg128 |         18.80 ± 0.99 |           48% |
+| qwen2 3B Q4_K_M                |   1.79 GiB |     3.09 B | CPU        |      64 |         tg256 |         24.46 ± 3.04 |           83% |
+| qwen2 3B Q4_K_M                |   1.79 GiB |     3.09 B | CPU        |      64 |         tg512 |         36.32 ± 3.59 |           90% |
+| qwen2 3B Q4_0_8_8              |   1.69 GiB |     3.09 B | CPU        |      64 |         pp512 |        271.71 ± 3.53 |          133% |
+| qwen2 3B Q4_0_8_8              |   1.69 GiB |     3.09 B | CPU        |      64 |        pp1024 |       279.86 ± 45.63 |          100% |
+| qwen2 3B Q4_0_8_8              |   1.69 GiB |     3.09 B | CPU        |      64 |        pp2048 |        320.77 ± 5.00 |          124% |
+| qwen2 3B Q4_0_8_8              |   1.69 GiB |     3.09 B | CPU        |      64 |         tg128 |         43.51 ± 0.05 |          111% |
+| qwen2 3B Q4_0_8_8              |   1.69 GiB |     3.09 B | CPU        |      64 |         tg256 |         43.35 ± 0.09 |          110% |
+| qwen2 3B Q4_0_8_8              |   1.69 GiB |     3.09 B | CPU        |      64 |         tg512 |         42.60 ± 0.31 |          105% |
+
+Q4_0_8_8 offers a nice bump to prompt processing and a small bump to text generation
+
+</details>
+
+</details>
+
+## Which file should I choose?
+
+<details>
+  <summary>Click here for details</summary>
+
+A great write up with charts showing various performances is provided by Artefact2 [here](https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9)
+
+The first thing to figure out is how big a model you can run. To do this, you'll need to figure out how much RAM and/or VRAM you have.
+
+If you want your model running as FAST as possible, you'll want to fit the whole thing on your GPU's VRAM. Aim for a quant with a file size 1-2GB smaller than your GPU's total VRAM.
+
+If you want the absolute maximum quality, add both your system RAM and your GPU's VRAM together, then similarly grab a quant with a file size 1-2GB Smaller than that total.
+
+Next, you'll need to decide if you want to use an 'I-quant' or a 'K-quant'.
+
+If you don't want to think too much, grab one of the K-quants. These are in format 'QX_K_X', like Q5_K_M.
+
+If you want to get more into the weeds, you can check out this extremely useful feature chart:
+
+[llama.cpp feature matrix](https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix)
+
+But basically, if you're aiming for below Q4, and you're running cuBLAS (Nvidia) or rocBLAS (AMD), you should look towards the I-quants. These are in format IQX_X, like IQ3_M. These are newer and offer better performance for their size.
+
+These I-quants can also be used on CPU, but will be slower than their K-quant equivalent, so speed vs performance is a tradeoff you'll have to decide.
+
+</details>
+
+## Credits
+
+Thank you kalomaze and Dampf for assistance in creating the imatrix calibration dataset.
+
+Thank you ZeroWw for the inspiration to experiment with embed/output.
+
+Thank you to LM Studio for sponsoring my work.
+
+Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski

allura-org_remnant-mn-12b-IQ2_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1ac9cf4d37db4fd3c49cdd571c7cb02d0a0f74802dc1995f90eda9f188283cb3
+size 4435034880

allura-org_remnant-mn-12b-IQ2_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:571351764b6d5961ef893ad08a49db5aeceab849af4ab8ebc1dad1997a399563
+size 4138484480

allura-org_remnant-mn-12b-IQ3_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac52d4ca29d2793905f4fdb7a947d23fbda94fb8caa0363dd240ced9c96f9e74
+size 5722245216

allura-org_remnant-mn-12b-IQ3_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:519538a2b2b37e4e021ca4794141707c9844ab29ab39e4c5c49ca3332a6ff99e
+size 5306501216

allura-org_remnant-mn-12b-IQ3_XXS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d411f7ae37d295b122e80f6c9cd04d562084da497372bc91a2861c64e84b9b2a
+size 4945396480

allura-org_remnant-mn-12b-IQ4_NL.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7737c7ec3bb712101062de76ee6e39be231e33850c8749e3ec23519c419342ac
+size 7097929120

allura-org_remnant-mn-12b-IQ4_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2d90f4218112600d1ef485a8b5a8c04d0294f1b5d52295288db0b7a150ed323
+size 6742723680

allura-org_remnant-mn-12b-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e1b15f4197ba7329feafac51aabf84c96f16769dbd16d75554f6e17122b2469a
+size 4791059520

allura-org_remnant-mn-12b-Q2_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e9c95d4fad46f0038db36a1667931651e07233828bf7e2321dd741e48538b977
+size 5446429504

allura-org_remnant-mn-12b-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:12ee889cba1bc1cc8046cfbc71e1f3814532a94cc0922a78e63c53fe0c748c0f
+size 6561515616

allura-org_remnant-mn-12b-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:10789aa892e19d4499fce89ac512d37a64ce77758cfa56f9651c06825390ce11
+size 6083102816

allura-org_remnant-mn-12b-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6a3a00bc940d9faa5c4ff4e778182fa3c88d8c77cc380a05fa96c5b13726d0e2
+size 5534238816

allura-org_remnant-mn-12b-Q3_K_XL.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4fe31a3c7f0d339ccb81860c1ffcc11ec65c78f4c95ca1cb6fcb46d4beb70d35
+size 7148727104

allura-org_remnant-mn-12b-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:48b8273b50cb7d4fa419ccbcf5365ca5b1f2302a082b61f75b8cd1bb58682828
+size 7094652320

allura-org_remnant-mn-12b-Q4_1.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c9bf0576d55f00d2a8abb8544dc211f743f96109118e2334e86be4d4dc6238fb
+size 7795232800

allura-org_remnant-mn-12b-Q4_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd87e7106f04ec01cc73319ec4b8aea2c9aaedce510ca87399efd8889405a3b3
+size 7975299904

allura-org_remnant-mn-12b-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eb50b313db21c07dded6f8830a6783bd771f1572385f6a1b04ff1f2f202add4c
+size 7477218720

allura-org_remnant-mn-12b-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:71ea3580f53d21fdffb2714fb44f39c54672945f2764d25f43eddf5c8e68c0ce
+size 7120211360

allura-org_remnant-mn-12b-Q5_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bccc1163be77a17de067b3f34984145c6ee8d7492b66c5314e61daf36d5716ed
+size 9141840704

allura-org_remnant-mn-12b-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d4344a6d676bc795dcd3af6b3348bc34f5f6b48b662a086145efcdc348f24c28
+size 8727646880

allura-org_remnant-mn-12b-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:00199b4db6b93eaffa96d18c8637c1a7de3365550bb70cc19f87672184046061
+size 8518750880

allura-org_remnant-mn-12b-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:15ef22f4524ddb1c1299651d5d5c24810a35cdce8b74924d97f3e3ed6a4bfb27
+size 10056226816

allura-org_remnant-mn-12b-Q6_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14c8c13478244f46eb1ee3505839950161b094a832a0e253bbe7ef63e88e933a
+size 10381290304

allura-org_remnant-mn-12b-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:35b4a36caf77496c660e6d2a538c62a2244363c5830aeb977f798e5d73283ddf
+size 13022391104

allura-org_remnant-mn-12b-bf16.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ee63ca9ad1369ab79d771a8f43c1486b7e0454c44eccc76a94da5636a6b3a5e
+size 24504317216

allura-org_remnant-mn-12b.imatrix

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:73541ef8c59c155cc838a5acf972f07d1ce36b8db664c26387a52164a04fe5b4
+size 7054418

configuration.json

@@ -0,0 +1 @@
+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}