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
+Llama-2-7b-ultrachat200k-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7b-ultrachat200k-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7b-ultrachat200k-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7b-ultrachat200k-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7b-ultrachat200k-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7b-ultrachat200k-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7b-ultrachat200k-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7b-ultrachat200k-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7b-ultrachat200k-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7b-ultrachat200k-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7b-ultrachat200k-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7b-ultrachat200k-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Llama-2-7b-ultrachat200k-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2ba916b34235dbb982ae1d94e48bb54cfe9f467fc958a1102f39453bd58008d4
+size 2532864672

Llama-2-7b-ultrachat200k-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:944485eb3ddbba5e16ee1eeb7dbb2da2f99a4a59c23b244a57073bf3de1a02ba
+size 3597111968

Llama-2-7b-ultrachat200k-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:deccb6863cfd036488d5cad00730c28aec497c184f128b1f28394f915933a008
+size 3298005664

Llama-2-7b-ultrachat200k-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:39342f18fba7f5111299ba2bf315e13a542323b6e3ff9e79f4e1b09652403378
+size 2948305568

Llama-2-7b-ultrachat200k-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a23642ed9067e31f178cbcfced8919e720bdb8a9f3a777b5a5c37bbe7ec52bad
+size 3825808032

Llama-2-7b-ultrachat200k-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f30575589966bd5e318c0a0b956c34510b316d0a733bb3ec60b755b3fd0ed9b
+size 4081005216

Llama-2-7b-ultrachat200k-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c70616d3411f3afe84aa3530f0919dc05c39bc407cdc5f31892ac7aa6fdbf918
+size 3856741024

Llama-2-7b-ultrachat200k-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:169d3800aba139334b904ea4995a39690db134c03f2ecea74526a0a6bc94ff80
+size 4651692704

Llama-2-7b-ultrachat200k-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d7dcd3fddff6c10dc2ca1b7c38446b54360e360b6f81aacfa1782910adeca4fb
+size 4783157920

Llama-2-7b-ultrachat200k-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:138f76e391a4b36b389850b9af37adf531c4b34ecbc49b1989ec9e4f1565b8a3
+size 4651692704

Llama-2-7b-ultrachat200k-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:feda73912e2db1f88a2e455023aa8d6ca75635dcf0b0ede7c280fff759d6dc87
+size 5529195168

Llama-2-7b-ultrachat200k-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:06a8993aad5b7c9d56985770f41141d537759dacebb395924846a05e34654467
+size 7161090720

README.md

@@ -0,0 +1,81 @@
+---
+base_model: neuralmagic/Llama-2-7b-ultrachat200k
+inference: true
+model_type: llama
+pipeline_tag: text-generation
+datasets:
+- HuggingFaceH4/ultrachat_200k
+tags:
+- chat
+- TensorBlock
+- GGUF
+---
+
+<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>
+
+## neuralmagic/Llama-2-7b-ultrachat200k - GGUF
+
+This repo contains GGUF format model files for [neuralmagic/Llama-2-7b-ultrachat200k](https://huggingface.co/neuralmagic/Llama-2-7b-ultrachat200k).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
+
+<div style="text-align: left; margin: 20px 0;">
+    <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
+        Run them on the TensorBlock client using your local machine ↗
+    </a>
+</div>
+
+## Prompt template
+
+```
+
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Llama-2-7b-ultrachat200k-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-2-7b-ultrachat200k-GGUF/blob/main/Llama-2-7b-ultrachat200k-Q2_K.gguf) | Q2_K | 2.533 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Llama-2-7b-ultrachat200k-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-2-7b-ultrachat200k-GGUF/blob/main/Llama-2-7b-ultrachat200k-Q3_K_S.gguf) | Q3_K_S | 2.948 GB | very small, high quality loss |
+| [Llama-2-7b-ultrachat200k-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-2-7b-ultrachat200k-GGUF/blob/main/Llama-2-7b-ultrachat200k-Q3_K_M.gguf) | Q3_K_M | 3.298 GB | very small, high quality loss |
+| [Llama-2-7b-ultrachat200k-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-2-7b-ultrachat200k-GGUF/blob/main/Llama-2-7b-ultrachat200k-Q3_K_L.gguf) | Q3_K_L | 3.597 GB | small, substantial quality loss |
+| [Llama-2-7b-ultrachat200k-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-2-7b-ultrachat200k-GGUF/blob/main/Llama-2-7b-ultrachat200k-Q4_0.gguf) | Q4_0 | 3.826 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Llama-2-7b-ultrachat200k-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-2-7b-ultrachat200k-GGUF/blob/main/Llama-2-7b-ultrachat200k-Q4_K_S.gguf) | Q4_K_S | 3.857 GB | small, greater quality loss |
+| [Llama-2-7b-ultrachat200k-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-2-7b-ultrachat200k-GGUF/blob/main/Llama-2-7b-ultrachat200k-Q4_K_M.gguf) | Q4_K_M | 4.081 GB | medium, balanced quality - recommended |
+| [Llama-2-7b-ultrachat200k-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-2-7b-ultrachat200k-GGUF/blob/main/Llama-2-7b-ultrachat200k-Q5_0.gguf) | Q5_0 | 4.652 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Llama-2-7b-ultrachat200k-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-2-7b-ultrachat200k-GGUF/blob/main/Llama-2-7b-ultrachat200k-Q5_K_S.gguf) | Q5_K_S | 4.652 GB | large, low quality loss - recommended |
+| [Llama-2-7b-ultrachat200k-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-2-7b-ultrachat200k-GGUF/blob/main/Llama-2-7b-ultrachat200k-Q5_K_M.gguf) | Q5_K_M | 4.783 GB | large, very low quality loss - recommended |
+| [Llama-2-7b-ultrachat200k-Q6_K.gguf](https://huggingface.co/tensorblock/Llama-2-7b-ultrachat200k-GGUF/blob/main/Llama-2-7b-ultrachat200k-Q6_K.gguf) | Q6_K | 5.529 GB | very large, extremely low quality loss |
+| [Llama-2-7b-ultrachat200k-Q8_0.gguf](https://huggingface.co/tensorblock/Llama-2-7b-ultrachat200k-GGUF/blob/main/Llama-2-7b-ultrachat200k-Q8_0.gguf) | Q8_0 | 7.161 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/Llama-2-7b-ultrachat200k-GGUF --include "Llama-2-7b-ultrachat200k-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/Llama-2-7b-ultrachat200k-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```