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--- |
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license: apache-2.0 |
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datasets: |
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- nicholasKluge/instruct-aira-dataset-v2 |
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language: |
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- pt |
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metrics: |
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- accuracy |
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library_name: transformers |
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pipeline_tag: text-generation |
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tags: |
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- alignment |
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- instruction tuned |
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- text generation |
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- conversation |
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- assistant |
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- TensorBlock |
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- GGUF |
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widget: |
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- text: <s><instruction>Cite algumas bandas de rock famosas da década de 1960.</instruction> |
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example_title: Exemplo |
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- text: <s><instruction>Quantos planetas existem no sistema solar?</instruction> |
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example_title: Exemplo |
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- text: <s><instruction>Qual é o futuro do ser humano?</instruction> |
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example_title: Exemplo |
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- text: <s><instruction>Qual o sentido da vida?</instruction> |
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example_title: Exemplo |
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- text: <s><instruction>Como imprimir hello world em python?</instruction> |
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example_title: Exemplo |
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- text: <s><instruction>Invente uma história sobre um encanador com poderes mágicos.</instruction> |
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example_title: Exemplo |
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inference: |
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parameters: |
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repetition_penalty: 1.2 |
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temperature: 0.2 |
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top_k: 30 |
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top_p: 0.3 |
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max_new_tokens: 200 |
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length_penalty: 0.3 |
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early_stopping: true |
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co2_eq_emissions: |
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emissions: 2530 |
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source: CodeCarbon |
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training_type: fine-tuning |
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geographical_location: United States of America |
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hardware_used: NVIDIA A100-SXM4-40GB |
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base_model: nicholasKluge/TeenyTinyLlama-460m-Chat |
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--- |
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|
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<div style="width: auto; margin-left: auto; margin-right: auto"> |
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<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;"> |
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</div> |
|
<div style="display: flex; justify-content: space-between; width: 100%;"> |
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<div style="display: flex; flex-direction: column; align-items: flex-start;"> |
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<p style="margin-top: 0.5em; margin-bottom: 0em;"> |
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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> |
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</p> |
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</div> |
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</div> |
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|
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## nicholasKluge/TeenyTinyLlama-460m-Chat - GGUF |
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|
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This repo contains GGUF format model files for [nicholasKluge/TeenyTinyLlama-460m-Chat](https://huggingface.co/nicholasKluge/TeenyTinyLlama-460m-Chat). |
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|
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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). |
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|
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## Our projects |
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<table border="1" cellspacing="0" cellpadding="10"> |
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<tr> |
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<th style="font-size: 25px;">Awesome MCP Servers</th> |
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<th style="font-size: 25px;">TensorBlock Studio</th> |
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</tr> |
|
<tr> |
|
<th><img src="https://imgur.com/2Xov7B7.jpeg" alt="Project A" width="450"/></th> |
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<th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Project B" width="450"/></th> |
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</tr> |
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<tr> |
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<th>A comprehensive collection of Model Context Protocol (MCP) servers.</th> |
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<th>A lightweight, open, and extensible multi-LLM interaction studio.</th> |
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</tr> |
|
<tr> |
|
<th> |
|
<a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style=" |
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display: inline-block; |
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padding: 8px 16px; |
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background-color: #FF7F50; |
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color: white; |
|
text-decoration: none; |
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border-radius: 6px; |
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font-weight: bold; |
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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; |
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">👀 See what we built 👀</a> |
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</th> |
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</tr> |
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</table> |
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## Prompt template |
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|
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``` |
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|
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``` |
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|
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## Model file specification |
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|
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| Filename | Quant type | File Size | Description | |
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| -------- | ---------- | --------- | ----------- | |
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| [TeenyTinyLlama-460m-Chat-Q2_K.gguf](https://huggingface.co/tensorblock/TeenyTinyLlama-460m-Chat-GGUF/blob/main/TeenyTinyLlama-460m-Chat-Q2_K.gguf) | Q2_K | 0.186 GB | smallest, significant quality loss - not recommended for most purposes | |
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| [TeenyTinyLlama-460m-Chat-Q3_K_S.gguf](https://huggingface.co/tensorblock/TeenyTinyLlama-460m-Chat-GGUF/blob/main/TeenyTinyLlama-460m-Chat-Q3_K_S.gguf) | Q3_K_S | 0.215 GB | very small, high quality loss | |
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| [TeenyTinyLlama-460m-Chat-Q3_K_M.gguf](https://huggingface.co/tensorblock/TeenyTinyLlama-460m-Chat-GGUF/blob/main/TeenyTinyLlama-460m-Chat-Q3_K_M.gguf) | Q3_K_M | 0.236 GB | very small, high quality loss | |
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| [TeenyTinyLlama-460m-Chat-Q3_K_L.gguf](https://huggingface.co/tensorblock/TeenyTinyLlama-460m-Chat-GGUF/blob/main/TeenyTinyLlama-460m-Chat-Q3_K_L.gguf) | Q3_K_L | 0.254 GB | small, substantial quality loss | |
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| [TeenyTinyLlama-460m-Chat-Q4_0.gguf](https://huggingface.co/tensorblock/TeenyTinyLlama-460m-Chat-GGUF/blob/main/TeenyTinyLlama-460m-Chat-Q4_0.gguf) | Q4_0 | 0.273 GB | legacy; small, very high quality loss - prefer using Q3_K_M | |
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| [TeenyTinyLlama-460m-Chat-Q4_K_S.gguf](https://huggingface.co/tensorblock/TeenyTinyLlama-460m-Chat-GGUF/blob/main/TeenyTinyLlama-460m-Chat-Q4_K_S.gguf) | Q4_K_S | 0.275 GB | small, greater quality loss | |
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| [TeenyTinyLlama-460m-Chat-Q4_K_M.gguf](https://huggingface.co/tensorblock/TeenyTinyLlama-460m-Chat-GGUF/blob/main/TeenyTinyLlama-460m-Chat-Q4_K_M.gguf) | Q4_K_M | 0.289 GB | medium, balanced quality - recommended | |
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| [TeenyTinyLlama-460m-Chat-Q5_0.gguf](https://huggingface.co/tensorblock/TeenyTinyLlama-460m-Chat-GGUF/blob/main/TeenyTinyLlama-460m-Chat-Q5_0.gguf) | Q5_0 | 0.327 GB | legacy; medium, balanced quality - prefer using Q4_K_M | |
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| [TeenyTinyLlama-460m-Chat-Q5_K_S.gguf](https://huggingface.co/tensorblock/TeenyTinyLlama-460m-Chat-GGUF/blob/main/TeenyTinyLlama-460m-Chat-Q5_K_S.gguf) | Q5_K_S | 0.327 GB | large, low quality loss - recommended | |
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| [TeenyTinyLlama-460m-Chat-Q5_K_M.gguf](https://huggingface.co/tensorblock/TeenyTinyLlama-460m-Chat-GGUF/blob/main/TeenyTinyLlama-460m-Chat-Q5_K_M.gguf) | Q5_K_M | 0.336 GB | large, very low quality loss - recommended | |
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| [TeenyTinyLlama-460m-Chat-Q6_K.gguf](https://huggingface.co/tensorblock/TeenyTinyLlama-460m-Chat-GGUF/blob/main/TeenyTinyLlama-460m-Chat-Q6_K.gguf) | Q6_K | 0.385 GB | very large, extremely low quality loss | |
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| [TeenyTinyLlama-460m-Chat-Q8_0.gguf](https://huggingface.co/tensorblock/TeenyTinyLlama-460m-Chat-GGUF/blob/main/TeenyTinyLlama-460m-Chat-Q8_0.gguf) | Q8_0 | 0.498 GB | very large, extremely low quality loss - not recommended | |
|
|
|
|
|
## Downloading instruction |
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|
|
### Command line |
|
|
|
Firstly, install Huggingface Client |
|
|
|
```shell |
|
pip install -U "huggingface_hub[cli]" |
|
``` |
|
|
|
Then, downoad the individual model file the a local directory |
|
|
|
```shell |
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huggingface-cli download tensorblock/TeenyTinyLlama-460m-Chat-GGUF --include "TeenyTinyLlama-460m-Chat-Q2_K.gguf" --local-dir MY_LOCAL_DIR |
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``` |
|
|
|
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try: |
|
|
|
```shell |
|
huggingface-cli download tensorblock/TeenyTinyLlama-460m-Chat-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf' |
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``` |
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|
