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
+Mistral-7B-Instruct-v0.1-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-Instruct-v0.1-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-Instruct-v0.1-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-Instruct-v0.1-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-Instruct-v0.1-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-Instruct-v0.1-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-Instruct-v0.1-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-Instruct-v0.1-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-Instruct-v0.1-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-Instruct-v0.1-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-Instruct-v0.1-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-Instruct-v0.1-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Mistral-7B-Instruct-v0.1-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d00c54ad8fc2f61b2fdf499e779c9f5eaf6a6abc6f84f832e6c2a721c8e3f595
+size 2719243840

Mistral-7B-Instruct-v0.1-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1656a16e2cad5bbf770c1995a9859d1cb38bfdd9984b36ecaf8dfff37ef85d81
+size 3822026304

Mistral-7B-Instruct-v0.1-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:66b347cdbd1caf801db193680871bb8663a770d71288655d7fa73573a9fa355a
+size 3518987840

Mistral-7B-Instruct-v0.1-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:43ecb41a003794f535a0a4fdecfd4ec22b830bb22f100b3f478da815a0519181
+size 3164569152

Mistral-7B-Instruct-v0.1-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d7d86c4cdef24e773c4e738746b9a514137b0001bf50aff56728ba7b9a05a9ea
+size 4108918336

Mistral-7B-Instruct-v0.1-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:766d7279b2f0d172b06f75b43a03a16e879c7dcb49dbab955c0a04745df3aa03
+size 4368440896

Mistral-7B-Instruct-v0.1-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0f1aec15f0cbaa5f86b14cb366be08e4383aba34f5c8223f6645a3593feb5a25
+size 4140375616

Mistral-7B-Instruct-v0.1-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3647ce026db4e5723b524c3b814b693b9b3fdf76ef0ce8e0103aaa7bb24a2ccd
+size 4997717568

Mistral-7B-Instruct-v0.1-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:069cad8eba90a633e8a5502bf2723ec24eb230cb71f18bca4a63fe2ed34ad2ab
+size 5131411008

Mistral-7B-Instruct-v0.1-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d866c086ec64d92ea2810bbbe32b056b4b813087cd9fc9e13a7c4d763a9f5f8b
+size 4997717568

Mistral-7B-Instruct-v0.1-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c9522785e44a35ead9cbed819bd7b5c153a3fe69afa9fdf27ef2fc0d148a9549
+size 5942066752

Mistral-7B-Instruct-v0.1-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c828fed232672790a5737de0d440551b93375d49feaf23ede50a6f2293d555b4
+size 7695859264

README.md

@@ -0,0 +1,87 @@
+---
+license: apache-2.0
+tags:
+- finetuned
+- TensorBlock
+- GGUF
+base_model: mistralai/Mistral-7B-Instruct-v0.1
+pipeline_tag: text-generation
+inference: true
+widget:
+- messages:
+  - role: user
+    content: What is your favorite condiment?
+extra_gated_description: If you want to learn more about how we process your personal
+  data, please read our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
+---
+
+<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>
+
+## mistralai/Mistral-7B-Instruct-v0.1 - GGUF
+
+This repo contains GGUF format model files for [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1).
+
+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).
+
+<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
+
+```
+<s> [INST] {system_prompt}
+
+{prompt} [/INST]
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Mistral-7B-Instruct-v0.1-Q2_K.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q2_K.gguf) | Q2_K | 2.719 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Mistral-7B-Instruct-v0.1-Q3_K_S.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q3_K_S.gguf) | Q3_K_S | 3.165 GB | very small, high quality loss |
+| [Mistral-7B-Instruct-v0.1-Q3_K_M.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q3_K_M.gguf) | Q3_K_M | 3.519 GB | very small, high quality loss |
+| [Mistral-7B-Instruct-v0.1-Q3_K_L.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q3_K_L.gguf) | Q3_K_L | 3.822 GB | small, substantial quality loss |
+| [Mistral-7B-Instruct-v0.1-Q4_0.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q4_0.gguf) | Q4_0 | 4.109 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Mistral-7B-Instruct-v0.1-Q4_K_S.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q4_K_S.gguf) | Q4_K_S | 4.140 GB | small, greater quality loss |
+| [Mistral-7B-Instruct-v0.1-Q4_K_M.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q4_K_M.gguf) | Q4_K_M | 4.368 GB | medium, balanced quality - recommended |
+| [Mistral-7B-Instruct-v0.1-Q5_0.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q5_0.gguf) | Q5_0 | 4.998 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Mistral-7B-Instruct-v0.1-Q5_K_S.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q5_K_S.gguf) | Q5_K_S | 4.998 GB | large, low quality loss - recommended |
+| [Mistral-7B-Instruct-v0.1-Q5_K_M.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q5_K_M.gguf) | Q5_K_M | 5.131 GB | large, very low quality loss - recommended |
+| [Mistral-7B-Instruct-v0.1-Q6_K.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-Q6_K.gguf) | Q6_K | 5.942 GB | very large, extremely low quality loss |
+| [Mistral-7B-Instruct-v0.1-Q8_0.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-v0.1-GGUF/blob/main/Mistral-7B-Instruct-v0.1-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/Mistral-7B-Instruct-v0.1-GGUF --include "Mistral-7B-Instruct-v0.1-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/Mistral-7B-Instruct-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```