Downloads · 30 days
82
9% of all-time downloads
tensorblock/mnoukhov_pythia1b-sft-tldr-GGUF
mnoukhov_pythia1b-sft-tldr-GGUF is a machine learning model from tensorblock. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
<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
Downloads · 30 days
82
9% of all-time downloads
All-time downloads
937
Public
Repo size
8 GB
Likes
0
Public
Click a slice to open those files.
.gguf420 MB · 100%
From the Hugging Face model README
This repo contains GGUF format model files for mnoukhov/pythia1b-sft-tldr.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.
Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| pythia1b-sft-tldr-Q2_K.gguf | Q2_K | 0.420 GB | smallest, significant quality loss - not recommended for most purposes |
| pythia1b-sft-tldr-Q3_K_S.gguf | Q3_K_S | 0.478 GB | very small, high quality loss |
| pythia1b-sft-tldr-Q3_K_M.gguf | Q3_K_M | 0.552 GB | very small, high quality loss |
| pythia1b-sft-tldr-Q3_K_L.gguf | Q3_K_L | 0.592 GB | small, substantial quality loss |
| pythia1b-sft-tldr-Q4_0.gguf | Q4_0 | 0.599 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| pythia1b-sft-tldr-Q4_K_S.gguf | Q4_K_S | 0.603 GB | small, greater quality loss |
| pythia1b-sft-tldr-Q4_K_M.gguf | Q4_K_M | 0.659 GB | medium, balanced quality - recommended |
| pythia1b-sft-tldr-Q5_0.gguf | Q5_0 | 0.712 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| pythia1b-sft-tldr-Q5_K_S.gguf | Q5_K_S | 0.712 GB | large, low quality loss - recommended |
| pythia1b-sft-tldr-Q5_K_M.gguf | Q5_K_M | 0.757 GB | large, very low quality loss - recommended |
| pythia1b-sft-tldr-Q6_K.gguf | Q6_K | 0.833 GB | very large, extremely low quality loss |
| pythia1b-sft-tldr-Q8_0.gguf | Q8_0 | 1.078 GB | very large, extremely low quality loss - not recommended |
Firstly, install Huggingface Client
pip install -U "huggingface_hub[cli]"
Then, downoad the individual model file the a local directory
huggingface-cli download tensorblock/mnoukhov_pythia1b-sft-tldr-GGUF --include "pythia1b-sft-tldr-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:
huggingface-cli download tensorblock/mnoukhov_pythia1b-sft-tldr-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'