| | --- |
| | license: apache-2.0 |
| | tags: |
| | - TensorBlock |
| | - GGUF |
| | base_model: echarlaix/tiny-mpt-random-remote-code |
| | --- |
| | |
| | <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> |
| | |
| | ## echarlaix/tiny-mpt-random-remote-code - GGUF |
| |
|
| | This repo contains GGUF format model files for [echarlaix/tiny-mpt-random-remote-code](https://huggingface.co/echarlaix/tiny-mpt-random-remote-code). |
| |
|
| | The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](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 |
| |
|
| | ``` |
| | |
| | ``` |
| |
|
| | ## Model file specification |
| |
|
| | | Filename | Quant type | File Size | Description | |
| | | -------- | ---------- | --------- | ----------- | |
| | | [tiny-mpt-random-remote-code-Q2_K.gguf](https://huggingface.co/tensorblock/tiny-mpt-random-remote-code-GGUF/blob/main/tiny-mpt-random-remote-code-Q2_K.gguf) | Q2_K | 0.009 GB | smallest, significant quality loss - not recommended for most purposes | |
| | | [tiny-mpt-random-remote-code-Q3_K_S.gguf](https://huggingface.co/tensorblock/tiny-mpt-random-remote-code-GGUF/blob/main/tiny-mpt-random-remote-code-Q3_K_S.gguf) | Q3_K_S | 0.009 GB | very small, high quality loss | |
| | | [tiny-mpt-random-remote-code-Q3_K_M.gguf](https://huggingface.co/tensorblock/tiny-mpt-random-remote-code-GGUF/blob/main/tiny-mpt-random-remote-code-Q3_K_M.gguf) | Q3_K_M | 0.009 GB | very small, high quality loss | |
| | | [tiny-mpt-random-remote-code-Q3_K_L.gguf](https://huggingface.co/tensorblock/tiny-mpt-random-remote-code-GGUF/blob/main/tiny-mpt-random-remote-code-Q3_K_L.gguf) | Q3_K_L | 0.009 GB | small, substantial quality loss | |
| | | [tiny-mpt-random-remote-code-Q4_0.gguf](https://huggingface.co/tensorblock/tiny-mpt-random-remote-code-GGUF/blob/main/tiny-mpt-random-remote-code-Q4_0.gguf) | Q4_0 | 0.009 GB | legacy; small, very high quality loss - prefer using Q3_K_M | |
| | | [tiny-mpt-random-remote-code-Q4_K_S.gguf](https://huggingface.co/tensorblock/tiny-mpt-random-remote-code-GGUF/blob/main/tiny-mpt-random-remote-code-Q4_K_S.gguf) | Q4_K_S | 0.009 GB | small, greater quality loss | |
| | | [tiny-mpt-random-remote-code-Q4_K_M.gguf](https://huggingface.co/tensorblock/tiny-mpt-random-remote-code-GGUF/blob/main/tiny-mpt-random-remote-code-Q4_K_M.gguf) | Q4_K_M | 0.009 GB | medium, balanced quality - recommended | |
| | | [tiny-mpt-random-remote-code-Q5_0.gguf](https://huggingface.co/tensorblock/tiny-mpt-random-remote-code-GGUF/blob/main/tiny-mpt-random-remote-code-Q5_0.gguf) | Q5_0 | 0.009 GB | legacy; medium, balanced quality - prefer using Q4_K_M | |
| | | [tiny-mpt-random-remote-code-Q5_K_S.gguf](https://huggingface.co/tensorblock/tiny-mpt-random-remote-code-GGUF/blob/main/tiny-mpt-random-remote-code-Q5_K_S.gguf) | Q5_K_S | 0.009 GB | large, low quality loss - recommended | |
| | | [tiny-mpt-random-remote-code-Q5_K_M.gguf](https://huggingface.co/tensorblock/tiny-mpt-random-remote-code-GGUF/blob/main/tiny-mpt-random-remote-code-Q5_K_M.gguf) | Q5_K_M | 0.009 GB | large, very low quality loss - recommended | |
| | | [tiny-mpt-random-remote-code-Q6_K.gguf](https://huggingface.co/tensorblock/tiny-mpt-random-remote-code-GGUF/blob/main/tiny-mpt-random-remote-code-Q6_K.gguf) | Q6_K | 0.009 GB | very large, extremely low quality loss | |
| | | [tiny-mpt-random-remote-code-Q8_0.gguf](https://huggingface.co/tensorblock/tiny-mpt-random-remote-code-GGUF/blob/main/tiny-mpt-random-remote-code-Q8_0.gguf) | Q8_0 | 0.009 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/tiny-mpt-random-remote-code-GGUF --include "tiny-mpt-random-remote-code-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/tiny-mpt-random-remote-code-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf' |
| | ``` |
| | |
