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

Mistral-Ita-7b-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:10beb17966c0c77f41502d05eb23eebd1e2c28024f7afe2c2e755ab74e7dfa1b
+size 2719242464

Mistral-Ita-7b-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e55702cb4ad41b1a2bbd7019730449a23352da3374d419537cfc0c60cd27ad47
+size 3822024928

Mistral-Ita-7b-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9dd8cb3d39e67f44558ab06476cbf090ee725468c0124813d515ad79c4102c94
+size 3518986464

Mistral-Ita-7b-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a0a4ae9613a3baf2e1ce7c6d603ce59375703cb00f9031dc10099d6b8111ec87
+size 3164567776

Mistral-Ita-7b-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c61a9ac9b0ce0a43b11213436de3452ac1f69a24f05d0974c69940fa44521530
+size 4108916960

Mistral-Ita-7b-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d85a8f0bc2092d579e2e120381e224bc5d68be92fd7174daf54de0419a4e7bd8
+size 4368439520

Mistral-Ita-7b-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:582dfd634eeda6368577a46aee25fd0e0472a0e17814bd012d909c221141a4a4
+size 4140374240

Mistral-Ita-7b-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dfad5b1ce262a2254f58a14096e32488b9baa47e3fc6b7d624100ddb9d14df1c
+size 4997716192

Mistral-Ita-7b-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a8f4482a0dd3cd3aa86505bfad9d28e4d5c3577ca51f88d24c2c0d8a205604ea
+size 5131409632

Mistral-Ita-7b-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d6bcd9f25156bb7a0b2082fbebb3219cc8d94666a8f3638eb49305369ccd2f2
+size 4997716192

Mistral-Ita-7b-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f11b13b08482c697adc214f07475155d8215e774f490a3315e34d386a6fb712f
+size 5942065376

Mistral-Ita-7b-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:93b489dc1591d53ec26cea091013a1a9257e7eca802f6ae2ffd38963d891064e
+size 7695857888

README.md

@@ -0,0 +1,76 @@
+---
+language:
+- it
+license: apache-2.0
+tags:
+- text-generation-inference
+- text generation
+- TensorBlock
+- GGUF
+datasets:
+- DeepMount00/llm_ita_ultra
+base_model: DeepMount00/Mistral-Ita-7b
+---
+
+<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>
+
+## DeepMount00/Mistral-Ita-7b - GGUF
+
+This repo contains GGUF format model files for [DeepMount00/Mistral-Ita-7b](https://huggingface.co/DeepMount00/Mistral-Ita-7b).
+
+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 |
+| -------- | ---------- | --------- | ----------- |
+| [Mistral-Ita-7b-Q2_K.gguf](https://huggingface.co/tensorblock/Mistral-Ita-7b-GGUF/tree/main/Mistral-Ita-7b-Q2_K.gguf) | Q2_K | 2.532 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Mistral-Ita-7b-Q3_K_S.gguf](https://huggingface.co/tensorblock/Mistral-Ita-7b-GGUF/tree/main/Mistral-Ita-7b-Q3_K_S.gguf) | Q3_K_S | 2.947 GB | very small, high quality loss |
+| [Mistral-Ita-7b-Q3_K_M.gguf](https://huggingface.co/tensorblock/Mistral-Ita-7b-GGUF/tree/main/Mistral-Ita-7b-Q3_K_M.gguf) | Q3_K_M | 3.277 GB | very small, high quality loss |
+| [Mistral-Ita-7b-Q3_K_L.gguf](https://huggingface.co/tensorblock/Mistral-Ita-7b-GGUF/tree/main/Mistral-Ita-7b-Q3_K_L.gguf) | Q3_K_L | 3.560 GB | small, substantial quality loss |
+| [Mistral-Ita-7b-Q4_0.gguf](https://huggingface.co/tensorblock/Mistral-Ita-7b-GGUF/tree/main/Mistral-Ita-7b-Q4_0.gguf) | Q4_0 | 3.827 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Mistral-Ita-7b-Q4_K_S.gguf](https://huggingface.co/tensorblock/Mistral-Ita-7b-GGUF/tree/main/Mistral-Ita-7b-Q4_K_S.gguf) | Q4_K_S | 3.856 GB | small, greater quality loss |
+| [Mistral-Ita-7b-Q4_K_M.gguf](https://huggingface.co/tensorblock/Mistral-Ita-7b-GGUF/tree/main/Mistral-Ita-7b-Q4_K_M.gguf) | Q4_K_M | 4.068 GB | medium, balanced quality - recommended |
+| [Mistral-Ita-7b-Q5_0.gguf](https://huggingface.co/tensorblock/Mistral-Ita-7b-GGUF/tree/main/Mistral-Ita-7b-Q5_0.gguf) | Q5_0 | 4.654 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Mistral-Ita-7b-Q5_K_S.gguf](https://huggingface.co/tensorblock/Mistral-Ita-7b-GGUF/tree/main/Mistral-Ita-7b-Q5_K_S.gguf) | Q5_K_S | 4.654 GB | large, low quality loss - recommended |
+| [Mistral-Ita-7b-Q5_K_M.gguf](https://huggingface.co/tensorblock/Mistral-Ita-7b-GGUF/tree/main/Mistral-Ita-7b-Q5_K_M.gguf) | Q5_K_M | 4.779 GB | large, very low quality loss - recommended |
+| [Mistral-Ita-7b-Q6_K.gguf](https://huggingface.co/tensorblock/Mistral-Ita-7b-GGUF/tree/main/Mistral-Ita-7b-Q6_K.gguf) | Q6_K | 5.534 GB | very large, extremely low quality loss |
+| [Mistral-Ita-7b-Q8_0.gguf](https://huggingface.co/tensorblock/Mistral-Ita-7b-GGUF/tree/main/Mistral-Ita-7b-Q8_0.gguf) | Q8_0 | 7.167 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-Ita-7b-GGUF --include "Mistral-Ita-7b-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-Ita-7b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```