Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,15 @@ saved_model/**/* 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
+Amber-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Amber-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Amber-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Amber-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Amber-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Amber-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Amber-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Amber-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Amber-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Amber-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Amber-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Amber-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Amber-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:561796460507d1d5910f5d94cc3980221da6fc063d641d65977aae1e386f91c3
+size 2532864224

Amber-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1c596230b4193ece70974a00e5eed223ae860e451932a6d52f04c4c1264459ea
+size 3597111520

Amber-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b2e45f9376fdb19ed2766225d1ef6cc7514d427c606dbe3746ad75fac5addfc7
+size 3298005216

Amber-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b778406cb1d218d783fd0c0af31e9eb54d2a8d9e8a599951d7ed69ed3fd0aaa4
+size 2948305120

Amber-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3daa0be6f04c104b9dd0c1c437b25db3d1f6fcc758be55dad34d6d4489c2e71b
+size 3825807584

Amber-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e9392e02a7d972c97257bb43b9d25501e122ae3a5200ba10d4561d66cb12b603
+size 4081004768

Amber-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4b1e42955aa8b156ce80f18d64cceec6f209348baef031c771b23f8b34e2b4e3
+size 3856740576

Amber-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7f01d50f69db0afce1115d0a71a028b9bfc428c0516166150b1ea7d592cdc0f1
+size 4651692256

Amber-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:133d2ae6b36e6a894ab60e247726b8e1a242383eec7e5cefcda47a2edfc74712
+size 4783157472

Amber-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:59ee6ce9415c57a8ec6ce80e2e6dbb832a8b942bca562f10093e5f3da04b88ed
+size 4651692256

Amber-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:df62714a07102de20f5828742864640bc347e8beab306fec2b52847fde79f427
+size 5529194720

Amber-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:05862d2a8249313bb73996c5340f1f1b9d89bdc047870038c88098637bd1492c
+size 7161090272

README.md

@@ -0,0 +1,76 @@
+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- nlp
+- llm
+- TensorBlock
+- GGUF
+base_model: LLM360/Amber
+---
+
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<div style="display: flex; justify-content: space-between; width: 100%;">
+    <div style="display: flex; flex-direction: column; align-items: flex-start;">
+        <p style="margin-top: 0.5em; margin-bottom: 0em;">
+            Feedback and support: TensorBlock's  <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
+        </p>
+    </div>
+</div>
+
+## LLM360/Amber - GGUF
+
+This repo contains GGUF format model files for [LLM360/Amber](https://huggingface.co/LLM360/Amber).
+
+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).
+
+## Prompt template
+
+```
+
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Amber-Q2_K.gguf](https://huggingface.co/tensorblock/Amber-GGUF/tree/main/Amber-Q2_K.gguf) | Q2_K | 2.359 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Amber-Q3_K_S.gguf](https://huggingface.co/tensorblock/Amber-GGUF/tree/main/Amber-Q3_K_S.gguf) | Q3_K_S | 2.746 GB | very small, high quality loss |
+| [Amber-Q3_K_M.gguf](https://huggingface.co/tensorblock/Amber-GGUF/tree/main/Amber-Q3_K_M.gguf) | Q3_K_M | 3.072 GB | very small, high quality loss |
+| [Amber-Q3_K_L.gguf](https://huggingface.co/tensorblock/Amber-GGUF/tree/main/Amber-Q3_K_L.gguf) | Q3_K_L | 3.350 GB | small, substantial quality loss |
+| [Amber-Q4_0.gguf](https://huggingface.co/tensorblock/Amber-GGUF/tree/main/Amber-Q4_0.gguf) | Q4_0 | 3.563 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Amber-Q4_K_S.gguf](https://huggingface.co/tensorblock/Amber-GGUF/tree/main/Amber-Q4_K_S.gguf) | Q4_K_S | 3.592 GB | small, greater quality loss |
+| [Amber-Q4_K_M.gguf](https://huggingface.co/tensorblock/Amber-GGUF/tree/main/Amber-Q4_K_M.gguf) | Q4_K_M | 3.801 GB | medium, balanced quality - recommended |
+| [Amber-Q5_0.gguf](https://huggingface.co/tensorblock/Amber-GGUF/tree/main/Amber-Q5_0.gguf) | Q5_0 | 4.332 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Amber-Q5_K_S.gguf](https://huggingface.co/tensorblock/Amber-GGUF/tree/main/Amber-Q5_K_S.gguf) | Q5_K_S | 4.332 GB | large, low quality loss - recommended |
+| [Amber-Q5_K_M.gguf](https://huggingface.co/tensorblock/Amber-GGUF/tree/main/Amber-Q5_K_M.gguf) | Q5_K_M | 4.455 GB | large, very low quality loss - recommended |
+| [Amber-Q6_K.gguf](https://huggingface.co/tensorblock/Amber-GGUF/tree/main/Amber-Q6_K.gguf) | Q6_K | 5.149 GB | very large, extremely low quality loss |
+| [Amber-Q8_0.gguf](https://huggingface.co/tensorblock/Amber-GGUF/tree/main/Amber-Q8_0.gguf) | Q8_0 | 6.669 GB | very large, extremely low quality loss - not recommended |
+
+
+## Downloading instruction
+
+### Command line
+
+Firstly, install Huggingface Client
+
+```shell
+pip install -U "huggingface_hub[cli]"
+```
+
+Then, downoad the individual model file the a local directory
+
+```shell
+huggingface-cli download tensorblock/Amber-GGUF --include "Amber-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/Amber-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```