Duplicate from bartowski/WizardLM-2-7B-GGUF

.gitattributes

@@ -0,0 +1,58 @@
+*.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
+WizardLM-2-7B-IQ1_M.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-IQ1_S.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-IQ2_S.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-IQ2_XS.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-IQ2_XXS.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-IQ3_S.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-IQ3_XXS.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+WizardLM-2-7B.imatrix filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,74 @@
+---
+license: apache-2.0
+quantized_by: bartowski
+pipeline_tag: text-generation
+---
+
+## Llamacpp Quantizations of WizardLM-2-7B
+
+Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2675">b2675</a> for quantization.
+
+Original model: https://huggingface.co/microsoft/WizardLM-2-7B
+
+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}
+USER: {prompt}
+ASSISTANT: </s>
+```
+
+## Download a file (not the whole branch) from below:
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [WizardLM-2-7B-Q8_0.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-Q8_0.gguf) | Q8_0 | 7.69GB | Extremely high quality, generally unneeded but max available quant. |
+| [WizardLM-2-7B-Q6_K.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-Q6_K.gguf) | Q6_K | 5.94GB | Very high quality, near perfect, *recommended*. |
+| [WizardLM-2-7B-Q5_K_M.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-Q5_K_M.gguf) | Q5_K_M | 5.13GB | High quality, *recommended*. |
+| [WizardLM-2-7B-Q5_K_S.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-Q5_K_S.gguf) | Q5_K_S | 4.99GB | High quality, *recommended*. |
+| [WizardLM-2-7B-Q4_K_M.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-Q4_K_M.gguf) | Q4_K_M | 4.36GB | Good quality, uses about 4.83 bits per weight, *recommended*. |
+| [WizardLM-2-7B-Q4_K_S.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-Q4_K_S.gguf) | Q4_K_S | 4.14GB | Slightly lower quality with more space savings, *recommended*. |
+| [WizardLM-2-7B-IQ4_NL.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-IQ4_NL.gguf) | IQ4_NL | 4.12GB | Decent quality, slightly smaller than Q4_K_S with similar performance *recommended*. |
+| [WizardLM-2-7B-IQ4_XS.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-IQ4_XS.gguf) | IQ4_XS | 3.90GB | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
+| [WizardLM-2-7B-Q3_K_L.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-Q3_K_L.gguf) | Q3_K_L | 3.82GB | Lower quality but usable, good for low RAM availability. |
+| [WizardLM-2-7B-Q3_K_M.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-Q3_K_M.gguf) | Q3_K_M | 3.51GB | Even lower quality. |
+| [WizardLM-2-7B-IQ3_M.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-IQ3_M.gguf) | IQ3_M | 3.28GB | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
+| [WizardLM-2-7B-IQ3_S.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-IQ3_S.gguf) | IQ3_S | 3.18GB | Lower quality, new method with decent performance, recommended over Q3_K_S quant, same size with better performance. |
+| [WizardLM-2-7B-Q3_K_S.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-Q3_K_S.gguf) | Q3_K_S | 3.16GB | Low quality, not recommended. |
+| [WizardLM-2-7B-IQ3_XS.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-IQ3_XS.gguf) | IQ3_XS | 3.01GB | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
+| [WizardLM-2-7B-IQ3_XXS.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-IQ3_XXS.gguf) | IQ3_XXS | 2.82GB | Lower quality, new method with decent performance, comparable to Q3 quants. |
+| [WizardLM-2-7B-Q2_K.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-Q2_K.gguf) | Q2_K | 2.71GB | Very low quality but surprisingly usable. |
+| [WizardLM-2-7B-IQ2_M.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-IQ2_M.gguf) | IQ2_M | 2.50GB | Very low quality, uses SOTA techniques to also be surprisingly usable. |
+| [WizardLM-2-7B-IQ2_S.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-IQ2_S.gguf) | IQ2_S | 2.31GB | Very low quality, uses SOTA techniques to be usable. |
+| [WizardLM-2-7B-IQ2_XS.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-IQ2_XS.gguf) | IQ2_XS | 2.19GB | Very low quality, uses SOTA techniques to be usable. |
+| [WizardLM-2-7B-IQ2_XXS.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-IQ2_XXS.gguf) | IQ2_XXS | 1.99GB | Lower quality, uses SOTA techniques to be usable. |
+| [WizardLM-2-7B-IQ1_M.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-IQ1_M.gguf) | IQ1_M | 1.75GB | Extremely low quality, *not* recommended. |
+| [WizardLM-2-7B-IQ1_S.gguf](https://huggingface.co/bartowski/WizardLM-2-7B-GGUF/blob/main/WizardLM-2-7B-IQ1_S.gguf) | IQ1_S | 1.61GB | 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

WizardLM-2-7B-IQ1_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:02d5fc631a5a588e1229eeff18d02549d6db7ab453e610df9feea4f365da5213
+size 1754445504

WizardLM-2-7B-IQ1_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7d026796f5af035201f2dea51375a3b2f616a145de6923aba3aa4625398a805e
+size 1612101312

WizardLM-2-7B-IQ2_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b8c5fc3f33cbb1279ecd7d89d248c61924bb8d5259402a3363dae180f7ef1b99
+size 2500712128

WizardLM-2-7B-IQ2_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:df99919dce3d2136a5e6d075aba2fa621b43a958dac496f8b08769635e61c0eb
+size 2310919872

WizardLM-2-7B-IQ2_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c4a67d9b1c910b1545cd6f3fb5a185442cc2baf464ade153635dd4d7bb9ee96
+size 2198255296

WizardLM-2-7B-IQ2_XXS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8962d023aed1dd1afcc0a7746155c1d54a7ee679ad0dd7d224318aafef5d1326
+size 1991685824

WizardLM-2-7B-IQ3_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ce1822361f26b1d3d79b0334e327f208af6f42322d4ee4bdd30da7c9549552da
+size 3284891328

WizardLM-2-7B-IQ3_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fac6a80d2c7249cdf28648f3dcabe828a933b6b434cf54e75480102ab09b37f
+size 3182393024

WizardLM-2-7B-IQ3_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2494c657b11aca6983e8eb82a274764dc2faa1ac769bdfd420d958e17b76155
+size 3018815168

WizardLM-2-7B-IQ3_XXS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b97f316d725b3b9a26a781819f918bc26b88cf3b41d76bc0a75ea5395d39bdfc
+size 2827343552

WizardLM-2-7B-IQ4_NL.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ce271d50fab7067d7b7cf9236c566ff5ff6ff3ff609f634e79fa1daa237c4a9
+size 4125693632

WizardLM-2-7B-IQ4_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:37d0205493d2831b65ea3b71996ddca720af9bca52520aabce846963cc8a2732
+size 3907688128

WizardLM-2-7B-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d9851f3e87846a13dc9d76fc55d5eee505939a2312305674bcb9e241add8988
+size 2719241920

WizardLM-2-7B-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:77f344f57cf8f61aea68c00b5e1a350c4fc121501d129898eb37e20bdcf04054
+size 3822024384

WizardLM-2-7B-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:50b1a9118856739f707b1ea77bd574c959a49cdc4f445f683395915542e98370
+size 3518985920

WizardLM-2-7B-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:78fb0cb7ceb89b807e56b0df38182e8a7c24ed8f352cb321d5d006321399ada5
+size 3164567232

WizardLM-2-7B-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:09d79242c8b3f00d235950480d509ebeb2e41c70ffd7ed36340e0dcd6379d05b
+size 4368438976

WizardLM-2-7B-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a6c3fc3a250f5c25c88dd495aca0556afa52f5aec7d811589fb3798001a392b2
+size 4140373696

WizardLM-2-7B-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6afc7d0f5e5e6b57b5c236ae292a4cd58775253367b521a835c164f0ba2387f0
+size 5131409088

WizardLM-2-7B-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:92a08f472a1b8ee3bf34fe67af313a0d5ceb9928bcfbdb74eca9e4ad5ba597e3
+size 4997715648

WizardLM-2-7B-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e9dac943fb87cfedd5421478d7e66f5c5f2ecde3daf258052459ef6a96e2cd1
+size 5942064832

WizardLM-2-7B-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:75d7ce14b174d5aa85fe211709f414135d7e48992bddb0f293ba259e83c3fe48
+size 7695857344

WizardLM-2-7B.imatrix

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc32c929c021217a04989e52fcf8daf35438c7dace6751613edd13fb38a4286c
+size 4988126