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
+L1000MT-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+L1000MT-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+L1000MT-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+L1000MT-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+L1000MT-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+L1000MT-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+L1000MT-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+L1000MT-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+L1000MT-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+L1000MT-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+L1000MT-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+L1000MT-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

L1000MT-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec720ab7dc45fb80912698a650da1d4bdc228d3404f29452e036d08515269f02
+size 3179131424

L1000MT-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:01b733340883543a761590925e8578fd066a0544e640c305a2a41917ef0584dd
+size 4321956384

L1000MT-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7b777e75f76d3eacf3b6050b24ff721167733703787f52b45bc403b1b293946d
+size 4018917920

L1000MT-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3aec7f5848be889715549228cedff12eb84483a739da5001187c4d2250a0bfc5
+size 3664499232

L1000MT-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dfef83cdc257219c6f5a007b3f339f8b9402c1cde47ed1a5aacc60e688cbff60
+size 4661211680

L1000MT-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d7a9051599fd8bfd32ee916a03d26156afeea9935fe7dce83af9a587489cb0e
+size 4920734240

L1000MT-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b598fd8ab0b47a022daaf6ad19a625789c0a1826b374ca57aebf4b53beab959e
+size 4692668960

L1000MT-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:12fd0f718611dc9c6a2a68df2665f2ac780d4c3ba47c54e28d9e3eab7d66369d
+size 5599293984

L1000MT-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8766507aa7ac557981c4f342ef6d016b0fbd1f96572b03b3d6f27338b8521c59
+size 5732987424

L1000MT-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:81168785e2adbe53ef5058a3c563d2cf206a0856abbb92a6b7d7bafa08e8cbaf
+size 5599293984

L1000MT-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7db026584b6444ce327179cdd96b1770472cc5f2ae3d4b0912e73c9db6935467
+size 6596006432

L1000MT-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:90be92c47f7b9b178666711025b5c4c93f99699b245c847ab10aa5c48ef87e4a
+size 8540770848

README.md

@@ -0,0 +1,75 @@
+---
+library_name: transformers
+license: apache-2.0
+tags:
+- TensorBlock
+- GGUF
+base_model: 2A2I-R/L1000MT
+---
+
+<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>
+
+## 2A2I-R/L1000MT - GGUF
+
+This repo contains GGUF format model files for [2A2I-R/L1000MT](https://huggingface.co/2A2I-R/L1000MT).
+
+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
+
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [L1000MT-Q2_K.gguf](https://huggingface.co/tensorblock/L1000MT-GGUF/tree/main/L1000MT-Q2_K.gguf) | Q2_K | 2.961 GB | smallest, significant quality loss - not recommended for most purposes |
+| [L1000MT-Q3_K_S.gguf](https://huggingface.co/tensorblock/L1000MT-GGUF/tree/main/L1000MT-Q3_K_S.gguf) | Q3_K_S | 3.413 GB | very small, high quality loss |
+| [L1000MT-Q3_K_M.gguf](https://huggingface.co/tensorblock/L1000MT-GGUF/tree/main/L1000MT-Q3_K_M.gguf) | Q3_K_M | 3.743 GB | very small, high quality loss |
+| [L1000MT-Q3_K_L.gguf](https://huggingface.co/tensorblock/L1000MT-GGUF/tree/main/L1000MT-Q3_K_L.gguf) | Q3_K_L | 4.025 GB | small, substantial quality loss |
+| [L1000MT-Q4_0.gguf](https://huggingface.co/tensorblock/L1000MT-GGUF/tree/main/L1000MT-Q4_0.gguf) | Q4_0 | 4.341 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [L1000MT-Q4_K_S.gguf](https://huggingface.co/tensorblock/L1000MT-GGUF/tree/main/L1000MT-Q4_K_S.gguf) | Q4_K_S | 4.370 GB | small, greater quality loss |
+| [L1000MT-Q4_K_M.gguf](https://huggingface.co/tensorblock/L1000MT-GGUF/tree/main/L1000MT-Q4_K_M.gguf) | Q4_K_M | 4.583 GB | medium, balanced quality - recommended |
+| [L1000MT-Q5_0.gguf](https://huggingface.co/tensorblock/L1000MT-GGUF/tree/main/L1000MT-Q5_0.gguf) | Q5_0 | 5.215 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [L1000MT-Q5_K_S.gguf](https://huggingface.co/tensorblock/L1000MT-GGUF/tree/main/L1000MT-Q5_K_S.gguf) | Q5_K_S | 5.215 GB | large, low quality loss - recommended |
+| [L1000MT-Q5_K_M.gguf](https://huggingface.co/tensorblock/L1000MT-GGUF/tree/main/L1000MT-Q5_K_M.gguf) | Q5_K_M | 5.339 GB | large, very low quality loss - recommended |
+| [L1000MT-Q6_K.gguf](https://huggingface.co/tensorblock/L1000MT-GGUF/tree/main/L1000MT-Q6_K.gguf) | Q6_K | 6.143 GB | very large, extremely low quality loss |
+| [L1000MT-Q8_0.gguf](https://huggingface.co/tensorblock/L1000MT-GGUF/tree/main/L1000MT-Q8_0.gguf) | Q8_0 | 7.954 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/L1000MT-GGUF --include "L1000MT-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/L1000MT-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```