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
+Qwen2-1.5B-Ita-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2-1.5B-Ita-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2-1.5B-Ita-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2-1.5B-Ita-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2-1.5B-Ita-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2-1.5B-Ita-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2-1.5B-Ita-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2-1.5B-Ita-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2-1.5B-Ita-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2-1.5B-Ita-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2-1.5B-Ita-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2-1.5B-Ita-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Qwen2-1.5B-Ita-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:acb9e9ee550ab3a3119e51e249e4d17aefe685ae5eb54859a25dcd7ce6042ca9
+size 676302208

Qwen2-1.5B-Ita-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b1c9190c8dcfa0e191923ce13663f40f7a6dffdf8dacbc2e747ce4860070784
+size 880160128

Qwen2-1.5B-Ita-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ecab296296dcf9633cdd54112e37cae3e21f84fdab96e2f4b2e206f2bae7f185
+size 824176000

Qwen2-1.5B-Ita-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5ad27b8b8bfbd4c903d4d883384cee10752a546cf64228df393cec5c9badddc3
+size 760941952

Qwen2-1.5B-Ita-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7d07328a00fe900114e59e3ebc4af5ec56471ae56243089a1c1ee17504c3f579
+size 934952320

Qwen2-1.5B-Ita-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:926d2a4f8a3100fda3281e159aca6804fec37c52bc109852ba051989146b3fe7
+size 986045824

Qwen2-1.5B-Ita-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:51806a7934566f450ccbea5594a2ca5a533c7806e8999aea3ff298d541c76ff7
+size 940309888

Qwen2-1.5B-Ita-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0fafb1d6e3542b5f6e54ef9d630adc815bb3bbceda00bcfb7d12e6e6cd7a2c61
+size 1098726784

Qwen2-1.5B-Ita-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d5c4b7ff4b0133929942bef947fe99e3987e6171367a5135e6e8615f3e1fa4e0
+size 1125047680

Qwen2-1.5B-Ita-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:384d996834b31051b162231bb47c160e6fccaa8ee69235474e00b92bef49b568
+size 1098726784

Qwen2-1.5B-Ita-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e86ddcccb51afcd23f0220280d13e8b84568d881b21ba044bc8463dc279fdffb
+size 1272737152

Qwen2-1.5B-Ita-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c37c3424de128d44c78c8f125daa9475d8dfea2c2e5b875eac375c4b9c40ba99
+size 1646570368

README.md

@@ -0,0 +1,78 @@
+---
+language:
+- it
+- en
+library_name: transformers
+license: apache-2.0
+tags:
+- TensorBlock
+- GGUF
+base_model: DeepMount00/Qwen2-1.5B-Ita
+---
+
+<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/Qwen2-1.5B-Ita - GGUF
+
+This repo contains GGUF format model files for [DeepMount00/Qwen2-1.5B-Ita](https://huggingface.co/DeepMount00/Qwen2-1.5B-Ita).
+
+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
+
+```
+<|im_start|>system
+{system_prompt}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Qwen2-1.5B-Ita-Q2_K.gguf](https://huggingface.co/tensorblock/Qwen2-1.5B-Ita-GGUF/tree/main/Qwen2-1.5B-Ita-Q2_K.gguf) | Q2_K | 0.630 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Qwen2-1.5B-Ita-Q3_K_S.gguf](https://huggingface.co/tensorblock/Qwen2-1.5B-Ita-GGUF/tree/main/Qwen2-1.5B-Ita-Q3_K_S.gguf) | Q3_K_S | 0.709 GB | very small, high quality loss |
+| [Qwen2-1.5B-Ita-Q3_K_M.gguf](https://huggingface.co/tensorblock/Qwen2-1.5B-Ita-GGUF/tree/main/Qwen2-1.5B-Ita-Q3_K_M.gguf) | Q3_K_M | 0.768 GB | very small, high quality loss |
+| [Qwen2-1.5B-Ita-Q3_K_L.gguf](https://huggingface.co/tensorblock/Qwen2-1.5B-Ita-GGUF/tree/main/Qwen2-1.5B-Ita-Q3_K_L.gguf) | Q3_K_L | 0.820 GB | small, substantial quality loss |
+| [Qwen2-1.5B-Ita-Q4_0.gguf](https://huggingface.co/tensorblock/Qwen2-1.5B-Ita-GGUF/tree/main/Qwen2-1.5B-Ita-Q4_0.gguf) | Q4_0 | 0.871 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Qwen2-1.5B-Ita-Q4_K_S.gguf](https://huggingface.co/tensorblock/Qwen2-1.5B-Ita-GGUF/tree/main/Qwen2-1.5B-Ita-Q4_K_S.gguf) | Q4_K_S | 0.876 GB | small, greater quality loss |
+| [Qwen2-1.5B-Ita-Q4_K_M.gguf](https://huggingface.co/tensorblock/Qwen2-1.5B-Ita-GGUF/tree/main/Qwen2-1.5B-Ita-Q4_K_M.gguf) | Q4_K_M | 0.918 GB | medium, balanced quality - recommended |
+| [Qwen2-1.5B-Ita-Q5_0.gguf](https://huggingface.co/tensorblock/Qwen2-1.5B-Ita-GGUF/tree/main/Qwen2-1.5B-Ita-Q5_0.gguf) | Q5_0 | 1.023 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Qwen2-1.5B-Ita-Q5_K_S.gguf](https://huggingface.co/tensorblock/Qwen2-1.5B-Ita-GGUF/tree/main/Qwen2-1.5B-Ita-Q5_K_S.gguf) | Q5_K_S | 1.023 GB | large, low quality loss - recommended |
+| [Qwen2-1.5B-Ita-Q5_K_M.gguf](https://huggingface.co/tensorblock/Qwen2-1.5B-Ita-GGUF/tree/main/Qwen2-1.5B-Ita-Q5_K_M.gguf) | Q5_K_M | 1.048 GB | large, very low quality loss - recommended |
+| [Qwen2-1.5B-Ita-Q6_K.gguf](https://huggingface.co/tensorblock/Qwen2-1.5B-Ita-GGUF/tree/main/Qwen2-1.5B-Ita-Q6_K.gguf) | Q6_K | 1.185 GB | very large, extremely low quality loss |
+| [Qwen2-1.5B-Ita-Q8_0.gguf](https://huggingface.co/tensorblock/Qwen2-1.5B-Ita-GGUF/tree/main/Qwen2-1.5B-Ita-Q8_0.gguf) | Q8_0 | 1.533 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/Qwen2-1.5B-Ita-GGUF --include "Qwen2-1.5B-Ita-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/Qwen2-1.5B-Ita-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```