---
tags:
- generated_from_trainer
- TensorBlock
- GGUF
metrics:
- accuracy
inference:
  parameters:
    max_new_tokens: 64
    do_sample: true
    repetition_penalty: 1.1
    no_repeat_ngram_size: 5
    guidance_scale: 1.01
    eta_cutoff: 0.001
widget:
- text: My name is El Microondas the Wise and
  example_title: El Microondas
- text: A meme is
  example_title: meme
- text: Barack Obama nominated Hilary Clinton as his secretary of state on Monday.
    He chose her because she had
  example_title: Coreference resolution
- text: 'On a shelf, there are five books: a gray book, a red book, a purple book,
    a blue book, and a black book'
  example_title: Logic puzzles
- text: The two men running to become New York City's next mayor will face off in
    their first debate Wednesday night
  example_title: Reading comprehension
datasets:
- pszemraj/simple_wikipedia_LM
pipeline_tag: text-generation
license: apache-2.0
base_model: pszemraj/pythia-31m-simplewiki-2048
---

<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;">
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        </p>
    </div>
</div>

## pszemraj/pythia-31m-simplewiki-2048 - GGUF

This repo contains GGUF format model files for [pszemraj/pythia-31m-simplewiki-2048](https://huggingface.co/pszemraj/pythia-31m-simplewiki-2048).

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

```

```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [pythia-31m-simplewiki-2048-Q2_K.gguf](https://huggingface.co/tensorblock/pythia-31m-simplewiki-2048-GGUF/blob/main/pythia-31m-simplewiki-2048-Q2_K.gguf) | Q2_K | 0.017 GB | smallest, significant quality loss - not recommended for most purposes |
| [pythia-31m-simplewiki-2048-Q3_K_S.gguf](https://huggingface.co/tensorblock/pythia-31m-simplewiki-2048-GGUF/blob/main/pythia-31m-simplewiki-2048-Q3_K_S.gguf) | Q3_K_S | 0.019 GB | very small, high quality loss |
| [pythia-31m-simplewiki-2048-Q3_K_M.gguf](https://huggingface.co/tensorblock/pythia-31m-simplewiki-2048-GGUF/blob/main/pythia-31m-simplewiki-2048-Q3_K_M.gguf) | Q3_K_M | 0.019 GB | very small, high quality loss |
| [pythia-31m-simplewiki-2048-Q3_K_L.gguf](https://huggingface.co/tensorblock/pythia-31m-simplewiki-2048-GGUF/blob/main/pythia-31m-simplewiki-2048-Q3_K_L.gguf) | Q3_K_L | 0.019 GB | small, substantial quality loss |
| [pythia-31m-simplewiki-2048-Q4_0.gguf](https://huggingface.co/tensorblock/pythia-31m-simplewiki-2048-GGUF/blob/main/pythia-31m-simplewiki-2048-Q4_0.gguf) | Q4_0 | 0.021 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [pythia-31m-simplewiki-2048-Q4_K_S.gguf](https://huggingface.co/tensorblock/pythia-31m-simplewiki-2048-GGUF/blob/main/pythia-31m-simplewiki-2048-Q4_K_S.gguf) | Q4_K_S | 0.021 GB | small, greater quality loss |
| [pythia-31m-simplewiki-2048-Q4_K_M.gguf](https://huggingface.co/tensorblock/pythia-31m-simplewiki-2048-GGUF/blob/main/pythia-31m-simplewiki-2048-Q4_K_M.gguf) | Q4_K_M | 0.021 GB | medium, balanced quality - recommended |
| [pythia-31m-simplewiki-2048-Q5_0.gguf](https://huggingface.co/tensorblock/pythia-31m-simplewiki-2048-GGUF/blob/main/pythia-31m-simplewiki-2048-Q5_0.gguf) | Q5_0 | 0.023 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [pythia-31m-simplewiki-2048-Q5_K_S.gguf](https://huggingface.co/tensorblock/pythia-31m-simplewiki-2048-GGUF/blob/main/pythia-31m-simplewiki-2048-Q5_K_S.gguf) | Q5_K_S | 0.023 GB | large, low quality loss - recommended |
| [pythia-31m-simplewiki-2048-Q5_K_M.gguf](https://huggingface.co/tensorblock/pythia-31m-simplewiki-2048-GGUF/blob/main/pythia-31m-simplewiki-2048-Q5_K_M.gguf) | Q5_K_M | 0.023 GB | large, very low quality loss - recommended |
| [pythia-31m-simplewiki-2048-Q6_K.gguf](https://huggingface.co/tensorblock/pythia-31m-simplewiki-2048-GGUF/blob/main/pythia-31m-simplewiki-2048-Q6_K.gguf) | Q6_K | 0.025 GB | very large, extremely low quality loss |
| [pythia-31m-simplewiki-2048-Q8_0.gguf](https://huggingface.co/tensorblock/pythia-31m-simplewiki-2048-GGUF/blob/main/pythia-31m-simplewiki-2048-Q8_0.gguf) | Q8_0 | 0.032 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/pythia-31m-simplewiki-2048-GGUF --include "pythia-31m-simplewiki-2048-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/pythia-31m-simplewiki-2048-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```