初始化项目，由ModelHub XC社区提供模型

Model: bartowski/L3-TheSpice-8b-v0.8.3-GGUF
Source: Original Platform

.gitattributes

@@ -0,0 +1,59 @@
+*.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
+L3-TheSpice-8b-v0.8.3-IQ1_M.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-IQ1_S.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-IQ2_S.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-IQ2_XS.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-IQ2_XXS.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-IQ3_S.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-IQ3_XXS.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3.imatrix filter=lfs diff=lfs merge=lfs -text
+L3-TheSpice-8b-v0.8.3-f16.gguf filter=lfs diff=lfs merge=lfs -text

L3-TheSpice-8b-v0.8.3-IQ1_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:64770e4847a53d02b5bb3d890b76d503cf6194cb7443f21b4c041d781704a7aa
+size 2161971040

L3-TheSpice-8b-v0.8.3-IQ1_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b4dc1b2542370ce016781cdb7d8fb2080971410b8b7259da2f23f31f770be5a2
+size 2019626848

L3-TheSpice-8b-v0.8.3-IQ2_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:72d5f6fb1a2bd8953c38cca241a749666c573acd7d6e74218875c9fc700dabaf
+size 2948280160

L3-TheSpice-8b-v0.8.3-IQ2_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:07b626646b2ed26d6a65ebf71fc6587f64b98b8d9a57b9c5bd5156d6d4f7e000
+size 2758487904

L3-TheSpice-8b-v0.8.3-IQ2_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c09b29571100e790283ee7e72ccb716bb5cdd92ff25b6498867f357591fbf396
+size 2605780832

L3-TheSpice-8b-v0.8.3-IQ2_XXS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:734565b5d1c4bd3b9110541e0b440f44675a7c131406be00c4726437add6d39f
+size 2399211360

L3-TheSpice-8b-v0.8.3-IQ3_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:40b5364b64ab70a5e65bd8b73215af95e3b31de1053ee1f15ef1fd157616b421
+size 3784822624

L3-TheSpice-8b-v0.8.3-IQ3_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5bb2e2da43752dcb888fd80b301f1977b0f75718c2b05378a47b0159ae5074e4
+size 3682324320

L3-TheSpice-8b-v0.8.3-IQ3_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:17ad0cb9b122ff208328345190aecc1f5ca86dd6296256e573311414b161a55f
+size 3518746464

L3-TheSpice-8b-v0.8.3-IQ3_XXS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eb9121ef50514c80ce452c49718a0bdef18f1f28e9faefac57ac3e57177855b7
+size 3274911584

L3-TheSpice-8b-v0.8.3-IQ4_NL.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5db3b4e1396e37b80223751b7bf094b3311e43815e254b3b29fa31a849ab9dff
+size 4677988192

L3-TheSpice-8b-v0.8.3-IQ4_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:30ecf44a18bb0ac6b1afbc07a21d3af2fb1282a037b5129da2b9599a9a2726f5
+size 4447661920

L3-TheSpice-8b-v0.8.3-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2a0060a876d0cb2c342bca0b5d1d52961c7a3e7a63a198b6383d7bbb670a6cf3
+size 3179130720

L3-TheSpice-8b-v0.8.3-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bec374fafbe3df350b1ed71eb30f754e3096298c9bfc07f871b3b715b7e0cee4
+size 4321955680

L3-TheSpice-8b-v0.8.3-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:afbffff15e41cde27444461e18e58f4276307bb9469acc3841f494c6adbc5cea
+size 4018917216

L3-TheSpice-8b-v0.8.3-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:13792f8573b868e1dd236a69f30ef40e37454cfeb1772d621249667ada2cb741
+size 3664498528

L3-TheSpice-8b-v0.8.3-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3412686bcd92461cee4636dda4d71cd559142fffe6810479a009976955807046
+size 4920733536

L3-TheSpice-8b-v0.8.3-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb37ddcb0368982dd087b03f327bbcdbfdb89b0904bcadfc8120862ed0c5ba67
+size 4692668256

L3-TheSpice-8b-v0.8.3-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1402cba0942ad82ae958238410a11b89d22e4d7f7ded25038fb087fa5d365d2e
+size 5732986720

L3-TheSpice-8b-v0.8.3-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1ae8504e77013134f2d8c0068d41df256e6f28d931f83abc9c4fcaac4a931204
+size 5599293280

L3-TheSpice-8b-v0.8.3-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:83b3031cd23f6357f4c4063f94deab75500e49da42922e2bd75b7cb43e9bc746
+size 6596005728

L3-TheSpice-8b-v0.8.3-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dca3b6532420dc7f113b89296597ce9123c11c72406386f4484df5e354f6b995
+size 8540770144

L3-TheSpice-8b-v0.8.3-f16.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:631f9b580192eecb765345e2c8734af5bf38c1742607e0c2ddd845246d521da7
+size 16068890528

L3-TheSpice-8b-v0.8.3.imatrix

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d9c7467285b611fc9382f16a3d18f6d221b77174027b2bc16e05b59c515c351a
+size 4988126

README.md

@@ -0,0 +1,78 @@
+---
+license: cc-by-nc-4.0
+quantized_by: bartowski
+pipeline_tag: text-generation
+---
+
+## Llamacpp imatrix Quantizations of L3-TheSpice-8b-v0.8.3
+
+Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2717">b2717</a> for quantization.
+
+Original model: https://huggingface.co/cgato/L3-TheSpice-8b-v0.8.3
+
+All quants made using imatrix option with dataset provided by Kalomaze [here](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384)
+
+## Prompt format
+
+
+```
+{System Prompt}
+
+Username: {Input}
+BotName: {Response}
+Username: {Input}
+BotName: {Response}
+```
+
+## Download a file (not the whole branch) from below:
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [L3-TheSpice-8b-v0.8.3-Q8_0.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-Q8_0.gguf) | Q8_0 | 8.54GB | Extremely high quality, generally unneeded but max available quant. |
+| [L3-TheSpice-8b-v0.8.3-Q6_K.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-Q6_K.gguf) | Q6_K | 6.59GB | Very high quality, near perfect, *recommended*. |
+| [L3-TheSpice-8b-v0.8.3-Q5_K_M.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-Q5_K_M.gguf) | Q5_K_M | 5.73GB | High quality, *recommended*. |
+| [L3-TheSpice-8b-v0.8.3-Q5_K_S.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-Q5_K_S.gguf) | Q5_K_S | 5.59GB | High quality, *recommended*. |
+| [L3-TheSpice-8b-v0.8.3-Q4_K_M.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-Q4_K_M.gguf) | Q4_K_M | 4.92GB | Good quality, uses about 4.83 bits per weight, *recommended*. |
+| [L3-TheSpice-8b-v0.8.3-Q4_K_S.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-Q4_K_S.gguf) | Q4_K_S | 4.69GB | Slightly lower quality with more space savings, *recommended*. |
+| [L3-TheSpice-8b-v0.8.3-IQ4_NL.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-IQ4_NL.gguf) | IQ4_NL | 4.67GB | Decent quality, slightly smaller than Q4_K_S with similar performance *recommended*. |
+| [L3-TheSpice-8b-v0.8.3-IQ4_XS.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-IQ4_XS.gguf) | IQ4_XS | 4.44GB | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
+| [L3-TheSpice-8b-v0.8.3-Q3_K_L.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-Q3_K_L.gguf) | Q3_K_L | 4.32GB | Lower quality but usable, good for low RAM availability. |
+| [L3-TheSpice-8b-v0.8.3-Q3_K_M.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-Q3_K_M.gguf) | Q3_K_M | 4.01GB | Even lower quality. |
+| [L3-TheSpice-8b-v0.8.3-IQ3_M.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-IQ3_M.gguf) | IQ3_M | 3.78GB | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
+| [L3-TheSpice-8b-v0.8.3-IQ3_S.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-IQ3_S.gguf) | IQ3_S | 3.68GB | Lower quality, new method with decent performance, recommended over Q3_K_S quant, same size with better performance. |
+| [L3-TheSpice-8b-v0.8.3-Q3_K_S.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-Q3_K_S.gguf) | Q3_K_S | 3.66GB | Low quality, not recommended. |
+| [L3-TheSpice-8b-v0.8.3-IQ3_XS.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-IQ3_XS.gguf) | IQ3_XS | 3.51GB | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
+| [L3-TheSpice-8b-v0.8.3-IQ3_XXS.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-IQ3_XXS.gguf) | IQ3_XXS | 3.27GB | Lower quality, new method with decent performance, comparable to Q3 quants. |
+| [L3-TheSpice-8b-v0.8.3-Q2_K.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-Q2_K.gguf) | Q2_K | 3.17GB | Very low quality but surprisingly usable. |
+| [L3-TheSpice-8b-v0.8.3-IQ2_M.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-IQ2_M.gguf) | IQ2_M | 2.94GB | Very low quality, uses SOTA techniques to also be surprisingly usable. |
+| [L3-TheSpice-8b-v0.8.3-IQ2_S.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-IQ2_S.gguf) | IQ2_S | 2.75GB | Very low quality, uses SOTA techniques to be usable. |
+| [L3-TheSpice-8b-v0.8.3-IQ2_XS.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-IQ2_XS.gguf) | IQ2_XS | 2.60GB | Very low quality, uses SOTA techniques to be usable. |
+| [L3-TheSpice-8b-v0.8.3-IQ2_XXS.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-IQ2_XXS.gguf) | IQ2_XXS | 2.39GB | Lower quality, uses SOTA techniques to be usable. |
+| [L3-TheSpice-8b-v0.8.3-IQ1_M.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-IQ1_M.gguf) | IQ1_M | 2.16GB | Extremely low quality, *not* recommended. |
+| [L3-TheSpice-8b-v0.8.3-IQ1_S.gguf](https://huggingface.co/bartowski/L3-TheSpice-8b-v0.8.3-GGUF/blob/main/L3-TheSpice-8b-v0.8.3-IQ1_S.gguf) | IQ1_S | 2.01GB | Extremely low quality, *not* recommended. |
+
+## Which file should I choose?
+
+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 and Apple Metal, but will be slower than their K-quant equivalent, so speed vs performance is a tradeoff you'll have to decide.
+
+The I-quants are *not* compatible with Vulcan, which is also AMD, so if you have an AMD card double check if you're using the rocBLAS build or the Vulcan build. At the time of writing this, LM Studio has a preview with ROCm support, and other inference engines have specific builds for ROCm.
+
+Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski

configuration.json

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