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

Misal-7B-instruct-v0.1-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:318634123ee02e60321660bdaff2baa497aefb73185651bbdbb3d6bc34cad3d7
+size 2604398560

Misal-7B-instruct-v0.1-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2e1da0cdabfc965604c2acf5dcee7ad35e203a54880046687d4ae6871c7551c9
+size 3674929120

Misal-7B-instruct-v0.1-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:731cf9ebe0f1570221848cf96f9bbd5335db87e17b67fdf0b61ef48b518e5f0e
+size 3375822816

Misal-7B-instruct-v0.1-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:98624d0e5606288e52b12b60fcf275d939758df3da8d5b24c096b29e96e8c195
+size 3026122720

Misal-7B-instruct-v0.1-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c7eb1edba1a8951d6f3ebb69decca9e0ac7e35eb967317a93e8d3ba138a6adab
+size 3911841760

Misal-7B-instruct-v0.1-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e13925183823d22fca3f802a9521a39569f7c3b63d7317f8d382c0b89408619a
+size 4167038944

Misal-7B-instruct-v0.1-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b5f29c1b6a8827212c46d5281610ab9097da36d3019a11a102f851a4a5e30cb
+size 3942774752

Misal-7B-instruct-v0.1-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ed4419a733066b507f5220439006a6667d4febaf5cd330242205d905f8ccd7aa
+size 4745459680

Misal-7B-instruct-v0.1-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:357b0f955cf4fb5fe0acee276365265a3a06f047bd45913feadac76a0e033d13
+size 4876924896

Misal-7B-instruct-v0.1-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1affc0b36b61027fadeeb500da0fc225d39a3a33028b16f0e8efdd29d0155031
+size 4745459680

Misal-7B-instruct-v0.1-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a7a001055f502f9fd19e412f647ece2292343fe1ff0cf94d4bc0a7740e24e34
+size 5631178720

Misal-7B-instruct-v0.1-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c512081adca148ba3d8ae668d63962d2a32d088b3ccf8e50872dcd8e7b68b2a3
+size 7293040608

README.md

@@ -0,0 +1,128 @@
+---
+datasets:
+- ai4bharat/IndicQuestionGeneration
+- ai4bharat/IndicSentiment
+- ai4bharat/IndicParaphrase
+- smallstepai/marathi-instruction-tuning-alpaca
+language:
+- mr
+metrics:
+- accuracy
+tags:
+- marathi
+- sentiment analysis
+- reading comprehension
+- paraphrasing
+- translation
+- TensorBlock
+- GGUF
+library_name: transformers
+pipeline_tag: text-generation
+license: llama2
+base_model: smallstepai/Misal-7B-instruct-v0.1
+---
+
+<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>
+
+## smallstepai/Misal-7B-instruct-v0.1 - GGUF
+
+This repo contains GGUF format model files for [smallstepai/Misal-7B-instruct-v0.1](https://huggingface.co/smallstepai/Misal-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 b5165](https://github.com/ggml-org/llama.cpp/commit/1d735c0b4fa0551c51c2f4ac888dd9a01f447985).
+
+## Our projects
+<table border="1" cellspacing="0" cellpadding="10">
+<tr>
+  <th style="font-size: 25px;">Awesome MCP Servers</th>
+  <th style="font-size: 25px;">TensorBlock Studio</th>
+</tr>
+  <tr>
+    <th><img src="https://imgur.com/2Xov7B7.jpeg" alt="Project A" width="450"/></th>
+    <th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Project B" width="450"/></th>
+  </tr>
+  <tr>
+    <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
+    <th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
+  </tr>
+<tr>
+  <th>
+    <a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="
+      display: inline-block;
+      padding: 8px 16px;
+      background-color: #FF7F50;
+      color: white;
+      text-decoration: none;
+      border-radius: 6px;
+      font-weight: bold;
+      font-family: sans-serif;
+    ">👀 See what we built 👀</a>
+  </th>
+  <th>
+    <a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
+      display: inline-block;
+      padding: 8px 16px;
+      background-color: #FF7F50;
+      color: white;
+      text-decoration: none;
+      border-radius: 6px;
+      font-weight: bold;
+      font-family: sans-serif;
+    ">👀 See what we built 👀</a>
+  </th>
+</tr>
+</table>
+
+## Prompt template
+
+```
+Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Misal-7B-instruct-v0.1-Q2_K.gguf](https://huggingface.co/tensorblock/smallstepai_Misal-7B-instruct-v0.1-GGUF/blob/main/Misal-7B-instruct-v0.1-Q2_K.gguf) | Q2_K | 2.604 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Misal-7B-instruct-v0.1-Q3_K_S.gguf](https://huggingface.co/tensorblock/smallstepai_Misal-7B-instruct-v0.1-GGUF/blob/main/Misal-7B-instruct-v0.1-Q3_K_S.gguf) | Q3_K_S | 3.026 GB | very small, high quality loss |
+| [Misal-7B-instruct-v0.1-Q3_K_M.gguf](https://huggingface.co/tensorblock/smallstepai_Misal-7B-instruct-v0.1-GGUF/blob/main/Misal-7B-instruct-v0.1-Q3_K_M.gguf) | Q3_K_M | 3.376 GB | very small, high quality loss |
+| [Misal-7B-instruct-v0.1-Q3_K_L.gguf](https://huggingface.co/tensorblock/smallstepai_Misal-7B-instruct-v0.1-GGUF/blob/main/Misal-7B-instruct-v0.1-Q3_K_L.gguf) | Q3_K_L | 3.675 GB | small, substantial quality loss |
+| [Misal-7B-instruct-v0.1-Q4_0.gguf](https://huggingface.co/tensorblock/smallstepai_Misal-7B-instruct-v0.1-GGUF/blob/main/Misal-7B-instruct-v0.1-Q4_0.gguf) | Q4_0 | 3.912 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Misal-7B-instruct-v0.1-Q4_K_S.gguf](https://huggingface.co/tensorblock/smallstepai_Misal-7B-instruct-v0.1-GGUF/blob/main/Misal-7B-instruct-v0.1-Q4_K_S.gguf) | Q4_K_S | 3.943 GB | small, greater quality loss |
+| [Misal-7B-instruct-v0.1-Q4_K_M.gguf](https://huggingface.co/tensorblock/smallstepai_Misal-7B-instruct-v0.1-GGUF/blob/main/Misal-7B-instruct-v0.1-Q4_K_M.gguf) | Q4_K_M | 4.167 GB | medium, balanced quality - recommended |
+| [Misal-7B-instruct-v0.1-Q5_0.gguf](https://huggingface.co/tensorblock/smallstepai_Misal-7B-instruct-v0.1-GGUF/blob/main/Misal-7B-instruct-v0.1-Q5_0.gguf) | Q5_0 | 4.745 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Misal-7B-instruct-v0.1-Q5_K_S.gguf](https://huggingface.co/tensorblock/smallstepai_Misal-7B-instruct-v0.1-GGUF/blob/main/Misal-7B-instruct-v0.1-Q5_K_S.gguf) | Q5_K_S | 4.745 GB | large, low quality loss - recommended |
+| [Misal-7B-instruct-v0.1-Q5_K_M.gguf](https://huggingface.co/tensorblock/smallstepai_Misal-7B-instruct-v0.1-GGUF/blob/main/Misal-7B-instruct-v0.1-Q5_K_M.gguf) | Q5_K_M | 4.877 GB | large, very low quality loss - recommended |
+| [Misal-7B-instruct-v0.1-Q6_K.gguf](https://huggingface.co/tensorblock/smallstepai_Misal-7B-instruct-v0.1-GGUF/blob/main/Misal-7B-instruct-v0.1-Q6_K.gguf) | Q6_K | 5.631 GB | very large, extremely low quality loss |
+| [Misal-7B-instruct-v0.1-Q8_0.gguf](https://huggingface.co/tensorblock/smallstepai_Misal-7B-instruct-v0.1-GGUF/blob/main/Misal-7B-instruct-v0.1-Q8_0.gguf) | Q8_0 | 7.293 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/smallstepai_Misal-7B-instruct-v0.1-GGUF --include "Misal-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/smallstepai_Misal-7B-instruct-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```