Upload folder using huggingface_hub

Meta-llama-3.1-8b-instruct-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:28161fda40663a94a65f75834f10a43a15ee0c0f7e9201bed4ca6428ec8fbd40
+size 3179131872

Meta-llama-3.1-8b-instruct-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1f5a0b52a83bc90642329a1890069af9f733cde2e4f2fe75a22eaa0905980fc6
+size 4321956832

Meta-llama-3.1-8b-instruct-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:280f33a1e2cba9c742c6e905eb846a22d03904559c024871615122ff660dc17a
+size 4018918368

Meta-llama-3.1-8b-instruct-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:13ddf99cd59601b21fd0d9579470f7a89550455d596f93d8dfccbdecf6ef8365
+size 3664499680

Meta-llama-3.1-8b-instruct-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c6260f4ce9dfe18d5c6decc67d0a20ab99602c6c0bf2a5e21febc9494b4de92b
+size 4661212128

Meta-llama-3.1-8b-instruct-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:46bb560b83fc79bf9ceb4c98d508cde09c8a2afc46d2b0283d3b9d509a7fc52d
+size 4920734688

Meta-llama-3.1-8b-instruct-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:30e1fcef327047b248590865bced30b83a468b310e6017a0e9f01bc392454914
+size 4692669408

Meta-llama-3.1-8b-instruct-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f8f6a1a9197ab0248d9302958c1eceb2584bc9c9610eca1aad9710faea8c41af
+size 5599294432

Meta-llama-3.1-8b-instruct-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0eda468798b687267263484f087e7f47732c225e9d4a7c13ad5559ea96174a3a
+size 5732987872

Meta-llama-3.1-8b-instruct-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b742fc46c13e4a58971a30f5f374590f3d2d007afb9a2997cbc3909ba0b3a99c
+size 5599294432

Meta-llama-3.1-8b-instruct-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:94558b798fc38c0e047de2723f201ddef996e52857e6b6ebb2be7759f1c58432
+size 6596006880

Meta-llama-3.1-8b-instruct-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a608aa4c21f3e93495040f0832c475997da0e685f0edc16c0cd9a46787f33c39
+size 8540771296

README.md

@@ -8,9 +8,6 @@ language:
 - hi
 - es
 - th
-- zh
-- ko
-- ja
 pipeline_tag: text-generation
 tags:
 - facebook
@@ -191,7 +188,7 @@ extra_gated_fields:
 extra_gated_description: The information you provide will be collected, stored, processed
   and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
 extra_gated_button_content: Submit
-base_model: aifeifei798/Meta-Llama-3.1-8B-Instruct
+base_model: Crystalcareai/Meta-llama-3.1-8b-instruct
 ---
 
 <div style="width: auto; margin-left: auto; margin-right: auto">
@@ -205,9 +202,9 @@ base_model: aifeifei798/Meta-Llama-3.1-8B-Instruct
     </div>
 </div>
 
-## aifeifei798/Meta-Llama-3.1-8B-Instruct - GGUF
+## Crystalcareai/Meta-llama-3.1-8b-instruct - GGUF
 
-This repo contains GGUF format model files for [aifeifei798/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/aifeifei798/Meta-Llama-3.1-8B-Instruct).
+This repo contains GGUF format model files for [Crystalcareai/Meta-llama-3.1-8b-instruct](https://huggingface.co/Crystalcareai/Meta-llama-3.1-8b-instruct).
 
 The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
 
@@ -222,9 +219,6 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
 ```
 <|begin_of_text|><|start_header_id|>system<|end_header_id|>
 
-Cutting Knowledge Date: December 2023
-Today Date: 26 Jul 2024
-
 {system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
 
 {prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
@@ -234,18 +228,18 @@ Today Date: 26 Jul 2024
 
 | Filename | Quant type | File Size | Description |
 | -------- | ---------- | --------- | ----------- |
-| [Meta-Llama-3.1-8B-Instruct-Q2_K.gguf](https://huggingface.co/tensorblock/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q2_K.gguf) | Q2_K | 2.961 GB | smallest, significant quality loss - not recommended for most purposes |
-| [Meta-Llama-3.1-8B-Instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3.413 GB | very small, high quality loss |
-| [Meta-Llama-3.1-8B-Instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3.743 GB | very small, high quality loss |
-| [Meta-Llama-3.1-8B-Instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q3_K_L.gguf) | Q3_K_L | 4.025 GB | small, substantial quality loss |
-| [Meta-Llama-3.1-8B-Instruct-Q4_0.gguf](https://huggingface.co/tensorblock/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q4_0.gguf) | Q4_0 | 4.341 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
-| [Meta-Llama-3.1-8B-Instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4.370 GB | small, greater quality loss |
-| [Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4.583 GB | medium, balanced quality - recommended |
-| [Meta-Llama-3.1-8B-Instruct-Q5_0.gguf](https://huggingface.co/tensorblock/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q5_0.gguf) | Q5_0 | 5.215 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
-| [Meta-Llama-3.1-8B-Instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5.215 GB | large, low quality loss - recommended |
-| [Meta-Llama-3.1-8B-Instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5.339 GB | large, very low quality loss - recommended |
-| [Meta-Llama-3.1-8B-Instruct-Q6_K.gguf](https://huggingface.co/tensorblock/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q6_K.gguf) | Q6_K | 6.143 GB | very large, extremely low quality loss |
-| [Meta-Llama-3.1-8B-Instruct-Q8_0.gguf](https://huggingface.co/tensorblock/Meta-Llama-3.1-8B-Instruct-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-Q8_0.gguf) | Q8_0 | 7.954 GB | very large, extremely low quality loss - not recommended |
+| [Meta-llama-3.1-8b-instruct-Q2_K.gguf](https://huggingface.co/tensorblock/Meta-llama-3.1-8b-instruct-GGUF/blob/main/Meta-llama-3.1-8b-instruct-Q2_K.gguf) | Q2_K | 3.179 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Meta-llama-3.1-8b-instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/Meta-llama-3.1-8b-instruct-GGUF/blob/main/Meta-llama-3.1-8b-instruct-Q3_K_S.gguf) | Q3_K_S | 3.664 GB | very small, high quality loss |
+| [Meta-llama-3.1-8b-instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/Meta-llama-3.1-8b-instruct-GGUF/blob/main/Meta-llama-3.1-8b-instruct-Q3_K_M.gguf) | Q3_K_M | 4.019 GB | very small, high quality loss |
+| [Meta-llama-3.1-8b-instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/Meta-llama-3.1-8b-instruct-GGUF/blob/main/Meta-llama-3.1-8b-instruct-Q3_K_L.gguf) | Q3_K_L | 4.322 GB | small, substantial quality loss |
+| [Meta-llama-3.1-8b-instruct-Q4_0.gguf](https://huggingface.co/tensorblock/Meta-llama-3.1-8b-instruct-GGUF/blob/main/Meta-llama-3.1-8b-instruct-Q4_0.gguf) | Q4_0 | 4.661 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Meta-llama-3.1-8b-instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/Meta-llama-3.1-8b-instruct-GGUF/blob/main/Meta-llama-3.1-8b-instruct-Q4_K_S.gguf) | Q4_K_S | 4.693 GB | small, greater quality loss |
+| [Meta-llama-3.1-8b-instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/Meta-llama-3.1-8b-instruct-GGUF/blob/main/Meta-llama-3.1-8b-instruct-Q4_K_M.gguf) | Q4_K_M | 4.921 GB | medium, balanced quality - recommended |
+| [Meta-llama-3.1-8b-instruct-Q5_0.gguf](https://huggingface.co/tensorblock/Meta-llama-3.1-8b-instruct-GGUF/blob/main/Meta-llama-3.1-8b-instruct-Q5_0.gguf) | Q5_0 | 5.599 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Meta-llama-3.1-8b-instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/Meta-llama-3.1-8b-instruct-GGUF/blob/main/Meta-llama-3.1-8b-instruct-Q5_K_S.gguf) | Q5_K_S | 5.599 GB | large, low quality loss - recommended |
+| [Meta-llama-3.1-8b-instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/Meta-llama-3.1-8b-instruct-GGUF/blob/main/Meta-llama-3.1-8b-instruct-Q5_K_M.gguf) | Q5_K_M | 5.733 GB | large, very low quality loss - recommended |
+| [Meta-llama-3.1-8b-instruct-Q6_K.gguf](https://huggingface.co/tensorblock/Meta-llama-3.1-8b-instruct-GGUF/blob/main/Meta-llama-3.1-8b-instruct-Q6_K.gguf) | Q6_K | 6.596 GB | very large, extremely low quality loss |
+| [Meta-llama-3.1-8b-instruct-Q8_0.gguf](https://huggingface.co/tensorblock/Meta-llama-3.1-8b-instruct-GGUF/blob/main/Meta-llama-3.1-8b-instruct-Q8_0.gguf) | Q8_0 | 8.541 GB | very large, extremely low quality loss - not recommended |
 
 
 ## Downloading instruction
@@ -261,11 +255,11 @@ pip install -U "huggingface_hub[cli]"
 Then, downoad the individual model file the a local directory
 
 ```shell
-huggingface-cli download tensorblock/Meta-Llama-3.1-8B-Instruct-GGUF --include "Meta-Llama-3.1-8B-Instruct-Q2_K.gguf" --local-dir MY_LOCAL_DIR
+huggingface-cli download tensorblock/Meta-llama-3.1-8b-instruct-GGUF --include "Meta-llama-3.1-8b-instruct-Q2_K.gguf" --local-dir MY_LOCAL_DIR
 ```
 
 If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
 
 ```shell
-huggingface-cli download tensorblock/Meta-Llama-3.1-8B-Instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+huggingface-cli download tensorblock/Meta-llama-3.1-8b-instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
 ```