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
+Valkyrie-V1-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Valkyrie-V1-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Valkyrie-V1-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Valkyrie-V1-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Valkyrie-V1-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Valkyrie-V1-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Valkyrie-V1-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Valkyrie-V1-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Valkyrie-V1-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Valkyrie-V1-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Valkyrie-V1-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Valkyrie-V1-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,77 @@
+---
+license: apache-2.0
+tags:
+- merge
+- TensorBlock
+- GGUF
+base_model: cookinai/Valkyrie-V1
+---
+
+<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>
+
+## cookinai/Valkyrie-V1 - GGUF
+
+This repo contains GGUF format model files for [cookinai/Valkyrie-V1](https://huggingface.co/cookinai/Valkyrie-V1).
+
+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 |
+| -------- | ---------- | --------- | ----------- |
+| [Valkyrie-V1-Q2_K.gguf](https://huggingface.co/tensorblock/Valkyrie-V1-GGUF/blob/main/Valkyrie-V1-Q2_K.gguf) | Q2_K | 2.719 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Valkyrie-V1-Q3_K_S.gguf](https://huggingface.co/tensorblock/Valkyrie-V1-GGUF/blob/main/Valkyrie-V1-Q3_K_S.gguf) | Q3_K_S | 3.165 GB | very small, high quality loss |
+| [Valkyrie-V1-Q3_K_M.gguf](https://huggingface.co/tensorblock/Valkyrie-V1-GGUF/blob/main/Valkyrie-V1-Q3_K_M.gguf) | Q3_K_M | 3.519 GB | very small, high quality loss |
+| [Valkyrie-V1-Q3_K_L.gguf](https://huggingface.co/tensorblock/Valkyrie-V1-GGUF/blob/main/Valkyrie-V1-Q3_K_L.gguf) | Q3_K_L | 3.822 GB | small, substantial quality loss |
+| [Valkyrie-V1-Q4_0.gguf](https://huggingface.co/tensorblock/Valkyrie-V1-GGUF/blob/main/Valkyrie-V1-Q4_0.gguf) | Q4_0 | 4.109 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Valkyrie-V1-Q4_K_S.gguf](https://huggingface.co/tensorblock/Valkyrie-V1-GGUF/blob/main/Valkyrie-V1-Q4_K_S.gguf) | Q4_K_S | 4.140 GB | small, greater quality loss |
+| [Valkyrie-V1-Q4_K_M.gguf](https://huggingface.co/tensorblock/Valkyrie-V1-GGUF/blob/main/Valkyrie-V1-Q4_K_M.gguf) | Q4_K_M | 4.368 GB | medium, balanced quality - recommended |
+| [Valkyrie-V1-Q5_0.gguf](https://huggingface.co/tensorblock/Valkyrie-V1-GGUF/blob/main/Valkyrie-V1-Q5_0.gguf) | Q5_0 | 4.998 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Valkyrie-V1-Q5_K_S.gguf](https://huggingface.co/tensorblock/Valkyrie-V1-GGUF/blob/main/Valkyrie-V1-Q5_K_S.gguf) | Q5_K_S | 4.998 GB | large, low quality loss - recommended |
+| [Valkyrie-V1-Q5_K_M.gguf](https://huggingface.co/tensorblock/Valkyrie-V1-GGUF/blob/main/Valkyrie-V1-Q5_K_M.gguf) | Q5_K_M | 5.131 GB | large, very low quality loss - recommended |
+| [Valkyrie-V1-Q6_K.gguf](https://huggingface.co/tensorblock/Valkyrie-V1-GGUF/blob/main/Valkyrie-V1-Q6_K.gguf) | Q6_K | 5.942 GB | very large, extremely low quality loss |
+| [Valkyrie-V1-Q8_0.gguf](https://huggingface.co/tensorblock/Valkyrie-V1-GGUF/blob/main/Valkyrie-V1-Q8_0.gguf) | Q8_0 | 7.696 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/Valkyrie-V1-GGUF --include "Valkyrie-V1-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/Valkyrie-V1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```

Valkyrie-V1-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:937e4c56ecc66d9240e1afef05f762aceca0e42820a1963693a4ecf9a2d49f25
+size 2719242304

Valkyrie-V1-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:02fda85705a413bf94bbd3e7621c1b726502c24b63ef87a753f8806b648d676f
+size 3822024768

Valkyrie-V1-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f00c0ad6682f4f739bd78e6627090030330270f10c27c36e9691a6770e2b80e9
+size 3518986304

Valkyrie-V1-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb8aa5855a6ae09e838ae2e960eceba24e7212d1aed6f585bc10dc3656b5bdab
+size 3164567616

Valkyrie-V1-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8774c94d12003c035bc898f830188e012ccbe6fec38d0a263ec2862cc71b5a30
+size 4108916800

Valkyrie-V1-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:490bee975b2aac07c0dac634cfbe19e5194c54f0e66869ca19f0623d9ad68d94
+size 4368439360

Valkyrie-V1-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e826cb267b63766111dba948cd654581c567d47331b86739991e42fb5ec39ec5
+size 4140374080

Valkyrie-V1-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4d731915553a4bdcabde038f0ccb003f266ad494e5ac884fbb4ccb9e9a236b17
+size 4997716032

Valkyrie-V1-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a57bb585e7c61da55554fc30ed3244f4dcf473fcae66cc659652af68d66f94bb
+size 5131409472

Valkyrie-V1-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f62ab110b84d6c5778f1c4d6961822ee6274215baa86f1f595de4ed00f96b4c
+size 4997716032

Valkyrie-V1-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f46f64f9cb0c9f80b18942519c065b2f49f32b03730a3ea4abea504e4afe3f88
+size 5942065216

Valkyrie-V1-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a05daf85ba23861662b5818fdb267d26e87162f426863239e94efdba0527871d
+size 7695857728