auto-patch README.md

.gitattributes

@@ -40,3 +40,11 @@ meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.f16.gguf filter=lfs d
 meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
 meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
 meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
+meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,6 +1,67 @@
+---
+base_model: JiaweiGuo123/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA
+language:
+- en
+library_name: transformers
+quantized_by: mradermacher
+tags: []
+---
+## About
+
 <!-- ### quantize_version: 2 -->
 <!-- ### output_tensor_quantised: 1 -->
 <!-- ### convert_type: hf -->
 <!-- ### vocab_type:  -->
 <!-- ### tags:  -->
 static quants of https://huggingface.co/JiaweiGuo123/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA
+
+<!-- provided-files -->
+weighted/imatrix quants are available at https://huggingface.co/mradermacher/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA-i1-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/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA-GGUF/resolve/main/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q2_K.gguf) | Q2_K | 3.3 |  |
+| [GGUF](https://huggingface.co/mradermacher/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA-GGUF/resolve/main/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.IQ3_XS.gguf) | IQ3_XS | 3.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA-GGUF/resolve/main/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q3_K_S.gguf) | Q3_K_S | 3.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA-GGUF/resolve/main/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.IQ3_S.gguf) | IQ3_S | 3.8 | beats Q3_K* |
+| [GGUF](https://huggingface.co/mradermacher/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA-GGUF/resolve/main/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.IQ3_M.gguf) | IQ3_M | 3.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA-GGUF/resolve/main/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA-GGUF/resolve/main/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q3_K_L.gguf) | Q3_K_L | 4.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA-GGUF/resolve/main/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.IQ4_XS.gguf) | IQ4_XS | 4.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA-GGUF/resolve/main/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA-GGUF/resolve/main/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA-GGUF/resolve/main/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q5_K_S.gguf) | Q5_K_S | 5.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA-GGUF/resolve/main/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q5_K_M.gguf) | Q5_K_M | 5.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA-GGUF/resolve/main/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA-GGUF/resolve/main/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA-GGUF/resolve/main/meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.f16.gguf) | f16 | 16.2 | 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 -->

meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.IQ3_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:52c4100857a3e1c57bbe44377c90e9211ed310a65f83e00d8c6d44dce064c424
+size 3518747808

meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.IQ4_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6f16f9b2745a02ca9c0af59167c46b430c78a828ebad5586c55fbff938e17eca
+size 4484363424

meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e3863bbfeddd405d92a3bbd11059e9c23f3696975b9a4616e0170daaf47fd59
+size 4321957024

meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:61d510a881622781d97cededbee18c0bd694725e6fcd3e52d67c37cc184e1399
+size 3664499872

meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9358bf4b0b5ea7983cc22072ddbb903902cd44b909b37f804f579d71a999709
+size 4920734880

meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c739ef21f624e7bb7a1ed031c0266f441dd11483344e50202de63b274087ec7c
+size 5732988064

meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a7afcb11cc4b5441414ff81d307947b3ca7c8f6a3aa8d8cf47999256b0d7c8e
+size 5599294624

meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-english-LISA.Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9f89346e6ed1ec8c4a50e32625522d3a9ccbc0756bea6beb935bf30a343a8351
+size 6596007072