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
+MegaBeam-Mistral-7B-300k-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+MegaBeam-Mistral-7B-300k-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+MegaBeam-Mistral-7B-300k-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+MegaBeam-Mistral-7B-300k-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+MegaBeam-Mistral-7B-300k-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+MegaBeam-Mistral-7B-300k-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+MegaBeam-Mistral-7B-300k-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+MegaBeam-Mistral-7B-300k-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+MegaBeam-Mistral-7B-300k-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+MegaBeam-Mistral-7B-300k-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+MegaBeam-Mistral-7B-300k-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+MegaBeam-Mistral-7B-300k-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

MegaBeam-Mistral-7B-300k-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d441d6c65dfb2435da623d0e61a658d00cd047219dac426010dd439fcac3b0e3
+size 2719242752

MegaBeam-Mistral-7B-300k-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0c8beeb08b9a645398a8ba0f2051b4b865458b0f5cae0585222544fe6e790457
+size 3822025216

MegaBeam-Mistral-7B-300k-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0fa0fcbae1f0705b27e26aa808416275880ea139ac235e01b99a9c3892773935
+size 3518986752

MegaBeam-Mistral-7B-300k-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7e2718d768e8c188e92d2f6656afe0fa6dcbbd11b7e7ea05f591afd6683f0f7
+size 3164568064

MegaBeam-Mistral-7B-300k-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:00d89d2089658aa781b393e3d4d84dd05171909fc67dd525ffd0b5a433dd52b0
+size 4108917248

MegaBeam-Mistral-7B-300k-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b7f8e974159db47cc94547c418a25c281b5202a51047b7dff81b09c03680b417
+size 4368439808

MegaBeam-Mistral-7B-300k-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b0abe027d54c482b396898b12fd48f5e51597acfb83f66bd2f237fdbe22a25f3
+size 4140374528

MegaBeam-Mistral-7B-300k-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:98ea3211965cdbb65c57d21b1cddb0497b2d76adeab080a761c5dbe7939c142a
+size 4997716480

MegaBeam-Mistral-7B-300k-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3bdee537e653288d69499d034597fb9dbe428e1575dacec80489b37dc0436b92
+size 5131409920

MegaBeam-Mistral-7B-300k-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e2f22ba8928b0d15f7f981940509f7156d8530c852608261d56e9f6f588c9be9
+size 4997716480

MegaBeam-Mistral-7B-300k-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:71bfde7504666bf4321bb60ee27a75ff473b9b935e6d355b5d4babfe3f9d7402
+size 5942065664

MegaBeam-Mistral-7B-300k-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ee7fcb230b70368cf13698775187ba140ea53ddb8eac5fb45e10b408a29df00
+size 7695858176

README.md

@@ -0,0 +1,77 @@
+---
+license: apache-2.0
+inference: false
+base_model: amazon/MegaBeam-Mistral-7B-300k
+tags:
+- TensorBlock
+- GGUF
+---
+
+<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>
+
+## amazon/MegaBeam-Mistral-7B-300k - GGUF
+
+This repo contains GGUF format model files for [amazon/MegaBeam-Mistral-7B-300k](https://huggingface.co/amazon/MegaBeam-Mistral-7B-300k).
+
+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] {prompt} [/INST]
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [MegaBeam-Mistral-7B-300k-Q2_K.gguf](https://huggingface.co/tensorblock/MegaBeam-Mistral-7B-300k-GGUF/blob/main/MegaBeam-Mistral-7B-300k-Q2_K.gguf) | Q2_K | 2.532 GB | smallest, significant quality loss - not recommended for most purposes |
+| [MegaBeam-Mistral-7B-300k-Q3_K_S.gguf](https://huggingface.co/tensorblock/MegaBeam-Mistral-7B-300k-GGUF/blob/main/MegaBeam-Mistral-7B-300k-Q3_K_S.gguf) | Q3_K_S | 2.947 GB | very small, high quality loss |
+| [MegaBeam-Mistral-7B-300k-Q3_K_M.gguf](https://huggingface.co/tensorblock/MegaBeam-Mistral-7B-300k-GGUF/blob/main/MegaBeam-Mistral-7B-300k-Q3_K_M.gguf) | Q3_K_M | 3.277 GB | very small, high quality loss |
+| [MegaBeam-Mistral-7B-300k-Q3_K_L.gguf](https://huggingface.co/tensorblock/MegaBeam-Mistral-7B-300k-GGUF/blob/main/MegaBeam-Mistral-7B-300k-Q3_K_L.gguf) | Q3_K_L | 3.560 GB | small, substantial quality loss |
+| [MegaBeam-Mistral-7B-300k-Q4_0.gguf](https://huggingface.co/tensorblock/MegaBeam-Mistral-7B-300k-GGUF/blob/main/MegaBeam-Mistral-7B-300k-Q4_0.gguf) | Q4_0 | 3.827 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [MegaBeam-Mistral-7B-300k-Q4_K_S.gguf](https://huggingface.co/tensorblock/MegaBeam-Mistral-7B-300k-GGUF/blob/main/MegaBeam-Mistral-7B-300k-Q4_K_S.gguf) | Q4_K_S | 3.856 GB | small, greater quality loss |
+| [MegaBeam-Mistral-7B-300k-Q4_K_M.gguf](https://huggingface.co/tensorblock/MegaBeam-Mistral-7B-300k-GGUF/blob/main/MegaBeam-Mistral-7B-300k-Q4_K_M.gguf) | Q4_K_M | 4.068 GB | medium, balanced quality - recommended |
+| [MegaBeam-Mistral-7B-300k-Q5_0.gguf](https://huggingface.co/tensorblock/MegaBeam-Mistral-7B-300k-GGUF/blob/main/MegaBeam-Mistral-7B-300k-Q5_0.gguf) | Q5_0 | 4.654 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [MegaBeam-Mistral-7B-300k-Q5_K_S.gguf](https://huggingface.co/tensorblock/MegaBeam-Mistral-7B-300k-GGUF/blob/main/MegaBeam-Mistral-7B-300k-Q5_K_S.gguf) | Q5_K_S | 4.654 GB | large, low quality loss - recommended |
+| [MegaBeam-Mistral-7B-300k-Q5_K_M.gguf](https://huggingface.co/tensorblock/MegaBeam-Mistral-7B-300k-GGUF/blob/main/MegaBeam-Mistral-7B-300k-Q5_K_M.gguf) | Q5_K_M | 4.779 GB | large, very low quality loss - recommended |
+| [MegaBeam-Mistral-7B-300k-Q6_K.gguf](https://huggingface.co/tensorblock/MegaBeam-Mistral-7B-300k-GGUF/blob/main/MegaBeam-Mistral-7B-300k-Q6_K.gguf) | Q6_K | 5.534 GB | very large, extremely low quality loss |
+| [MegaBeam-Mistral-7B-300k-Q8_0.gguf](https://huggingface.co/tensorblock/MegaBeam-Mistral-7B-300k-GGUF/blob/main/MegaBeam-Mistral-7B-300k-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/MegaBeam-Mistral-7B-300k-GGUF --include "MegaBeam-Mistral-7B-300k-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/MegaBeam-Mistral-7B-300k-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```