TensorBlock

Website Twitter Discord GitHub Telegram

LordNoah/spin_gpt2_medium_alpaca_e4 - GGUF

This repo contains GGUF format model files for LordNoah/spin_gpt2_medium_alpaca_e4.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Our projects

Forge
Forge Project
An OpenAI-compatible multi-provider routing layer.
πŸš€ Try it now! πŸš€
Awesome MCP Servers TensorBlock Studio
MCP Servers Studio
A comprehensive collection of Model Context Protocol (MCP) servers. A lightweight, open, and extensible multi-LLM interaction studio.
πŸ‘€ See what we built πŸ‘€ πŸ‘€ See what we built πŸ‘€
## Prompt template

Model file specification

Filename Quant type File Size Description
spin_gpt2_medium_alpaca_e4-Q2_K.gguf Q2_K 0.178 GB smallest, significant quality loss - not recommended for most purposes
spin_gpt2_medium_alpaca_e4-Q3_K_S.gguf Q3_K_S 0.201 GB very small, high quality loss
spin_gpt2_medium_alpaca_e4-Q3_K_M.gguf Q3_K_M 0.229 GB very small, high quality loss
spin_gpt2_medium_alpaca_e4-Q3_K_L.gguf Q3_K_L 0.244 GB small, substantial quality loss
spin_gpt2_medium_alpaca_e4-Q4_0.gguf Q4_0 0.248 GB legacy; small, very high quality loss - prefer using Q3_K_M
spin_gpt2_medium_alpaca_e4-Q4_K_S.gguf Q4_K_S 0.250 GB small, greater quality loss
spin_gpt2_medium_alpaca_e4-Q4_K_M.gguf Q4_K_M 0.271 GB medium, balanced quality - recommended
spin_gpt2_medium_alpaca_e4-Q5_0.gguf Q5_0 0.292 GB legacy; medium, balanced quality - prefer using Q4_K_M
spin_gpt2_medium_alpaca_e4-Q5_K_S.gguf Q5_K_S 0.292 GB large, low quality loss - recommended
spin_gpt2_medium_alpaca_e4-Q5_K_M.gguf Q5_K_M 0.309 GB large, very low quality loss - recommended
spin_gpt2_medium_alpaca_e4-Q6_K.gguf Q6_K 0.339 GB very large, extremely low quality loss
spin_gpt2_medium_alpaca_e4-Q8_0.gguf Q8_0 0.437 GB very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/spin_gpt2_medium_alpaca_e4-GGUF --include "spin_gpt2_medium_alpaca_e4-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/spin_gpt2_medium_alpaca_e4-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
34
GGUF
Model size
0.4B params
Architecture
gpt2
Hardware compatibility
Log In to add your hardware

2-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support