akrishnan/gpt2-350M-unlearning-BIOSR_supersampled_biographies_x10_lr_0.0005_seed_123 - GGUF
This repo contains GGUF format model files for akrishnan/gpt2-350M-unlearning-BIOSR_supersampled_biographies_x10_lr_0.0005_seed_123.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4882.
Our projects
| Forge | |
|---|---|
|
|
| An OpenAI-compatible multi-provider routing layer. | |
| 🚀 Try it now! 🚀 | |
| Awesome MCP Servers | TensorBlock Studio |
 |
 |
| A comprehensive collection of Model Context Protocol (MCP) servers. | A lightweight, open, and extensible multi-LLM interaction studio. |
| 👀 See what we built 👀 | 👀 See what we built 👀 |
Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.
Model file specification
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/gpt2-350M-unlearning-BIOSR_supersampled_biographies_x10_lr_0.0005_seed_123-GGUF --include "gpt2-350M-unlearning-BIOSR_supersampled_biographies_x10_lr_0.0005_seed_123-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/gpt2-350M-unlearning-BIOSR_supersampled_biographies_x10_lr_0.0005_seed_123-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
- Downloads last month
- 45
Hardware compatibility
Log In
to view the estimation
2-bit
3-bit
4-bit
5-bit
6-bit
8-bit
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support