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-Chat-fp16-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7B-Chat-fp16-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7B-Chat-fp16-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7B-Chat-fp16-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7B-Chat-fp16-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7B-Chat-fp16-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7B-Chat-fp16-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7B-Chat-fp16-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7B-Chat-fp16-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7B-Chat-fp16-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7B-Chat-fp16-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-2-7B-Chat-fp16-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Llama-2-7B-Chat-fp16-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ab51ee39eef195487cddc0babe6d2769729d703a336d6b6d6da21bf5f0a28fbd
+size 2532864288

Llama-2-7B-Chat-fp16-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ee860c6b2deb963502b6b16a88e1e57a68449adc872d21bbd45ad6a80e57b240
+size 3597111584

Llama-2-7B-Chat-fp16-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5b70c368e6f73189698916d2535ac5a8e8e4f81034ed94f391d093021a9424de
+size 3298005280

Llama-2-7B-Chat-fp16-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:65bb0de3cd0a01e45263d38700c5e95cb3e3a27b1b12953cbec77e861e2fc4a4
+size 2948305184

Llama-2-7B-Chat-fp16-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6c61c2f7041e6d7a418831351d7508b544406e57df9ae8a3bbb90554f873dcfd
+size 3825807648

Llama-2-7B-Chat-fp16-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b47cd42bc0a54e0512b1070489a2a5f81d4b761d444d24f2c8f860d95ce684b0
+size 4081004832

Llama-2-7B-Chat-fp16-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:40dae081537d924a57270b52c9f717053e8ae2e2128a783da8a82f8400c1319b
+size 3856740640

Llama-2-7B-Chat-fp16-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:466d07eb12e5c86ad5b4ee1b0451f880c4375f3e90f84f915f9d3ad20dbf07e1
+size 4651692320

Llama-2-7B-Chat-fp16-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:510a861742fc5358a5a15fc68b7827b0086bcef7d5b6179894cf968814617881
+size 4783157536

Llama-2-7B-Chat-fp16-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f3fd34d4c925a028fac0f04254e32909ca67e9bfaab477f440e78b4550eb8ec
+size 4651692320

Llama-2-7B-Chat-fp16-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:97479935cafd54bc258404be5f2e96e3fe6d7d1fd79761d92034b6254e006475
+size 5529194784

Llama-2-7B-Chat-fp16-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d299ccaea4e24b763729bf5f6e9a7a880159f03ddc6be5570356ea08eff42798
+size 7161090336

README.md

@@ -0,0 +1,91 @@
+---
+extra_gated_heading: Access Llama 2 on Hugging Face
+extra_gated_description: This is a form to enable access to Llama 2 on Hugging Face
+  after you have been granted access from Meta. Please visit the [Meta website](https://ai.meta.com/resources/models-and-libraries/llama-downloads)
+  and accept our license terms and acceptable use policy before submitting this form.
+  Requests will be processed in 1-2 days.
+extra_gated_prompt: '**Your Hugging Face account email address MUST match the email
+  you provide on the Meta website, or your request will not be approved.**'
+extra_gated_button_content: Submit
+extra_gated_fields:
+  ? I agree to share my name, email address and username with Meta and confirm that
+    I have already been granted download access on the Meta website
+  : checkbox
+language:
+- en
+pipeline_tag: text-generation
+inference: false
+arxiv: 2307.09288
+tags:
+- facebook
+- meta
+- pytorch
+- llama
+- llama-2
+- TensorBlock
+- GGUF
+base_model: TheBloke/Llama-2-7B-Chat-fp16
+---
+
+<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>
+
+## TheBloke/Llama-2-7B-Chat-fp16 - GGUF
+
+This repo contains GGUF format model files for [TheBloke/Llama-2-7B-Chat-fp16](https://huggingface.co/TheBloke/Llama-2-7B-Chat-fp16).
+
+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 |
+| -------- | ---------- | --------- | ----------- |
+| [Llama-2-7B-Chat-fp16-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-2-7B-Chat-fp16-GGUF/tree/main/Llama-2-7B-Chat-fp16-Q2_K.gguf) | Q2_K | 2.359 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Llama-2-7B-Chat-fp16-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-2-7B-Chat-fp16-GGUF/tree/main/Llama-2-7B-Chat-fp16-Q3_K_S.gguf) | Q3_K_S | 2.746 GB | very small, high quality loss |
+| [Llama-2-7B-Chat-fp16-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-2-7B-Chat-fp16-GGUF/tree/main/Llama-2-7B-Chat-fp16-Q3_K_M.gguf) | Q3_K_M | 3.072 GB | very small, high quality loss |
+| [Llama-2-7B-Chat-fp16-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-2-7B-Chat-fp16-GGUF/tree/main/Llama-2-7B-Chat-fp16-Q3_K_L.gguf) | Q3_K_L | 3.350 GB | small, substantial quality loss |
+| [Llama-2-7B-Chat-fp16-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-2-7B-Chat-fp16-GGUF/tree/main/Llama-2-7B-Chat-fp16-Q4_0.gguf) | Q4_0 | 3.563 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Llama-2-7B-Chat-fp16-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-2-7B-Chat-fp16-GGUF/tree/main/Llama-2-7B-Chat-fp16-Q4_K_S.gguf) | Q4_K_S | 3.592 GB | small, greater quality loss |
+| [Llama-2-7B-Chat-fp16-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-2-7B-Chat-fp16-GGUF/tree/main/Llama-2-7B-Chat-fp16-Q4_K_M.gguf) | Q4_K_M | 3.801 GB | medium, balanced quality - recommended |
+| [Llama-2-7B-Chat-fp16-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-2-7B-Chat-fp16-GGUF/tree/main/Llama-2-7B-Chat-fp16-Q5_0.gguf) | Q5_0 | 4.332 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Llama-2-7B-Chat-fp16-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-2-7B-Chat-fp16-GGUF/tree/main/Llama-2-7B-Chat-fp16-Q5_K_S.gguf) | Q5_K_S | 4.332 GB | large, low quality loss - recommended |
+| [Llama-2-7B-Chat-fp16-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-2-7B-Chat-fp16-GGUF/tree/main/Llama-2-7B-Chat-fp16-Q5_K_M.gguf) | Q5_K_M | 4.455 GB | large, very low quality loss - recommended |
+| [Llama-2-7B-Chat-fp16-Q6_K.gguf](https://huggingface.co/tensorblock/Llama-2-7B-Chat-fp16-GGUF/tree/main/Llama-2-7B-Chat-fp16-Q6_K.gguf) | Q6_K | 5.149 GB | very large, extremely low quality loss |
+| [Llama-2-7B-Chat-fp16-Q8_0.gguf](https://huggingface.co/tensorblock/Llama-2-7B-Chat-fp16-GGUF/tree/main/Llama-2-7B-Chat-fp16-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/Llama-2-7B-Chat-fp16-GGUF --include "Llama-2-7B-Chat-fp16-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-Chat-fp16-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```