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metadata
language:
  - en
  - ja
license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
base_model: pfnet/plamo-13b
tags:
  - TensorBlock
  - GGUF
TensorBlock

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pfnet/plamo-13b - GGUF

This repo contains GGUF format model files for pfnet/plamo-13b.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

Prompt template

Model file specification

Filename Quant type File Size Description
plamo-13b-Q2_K.gguf Q2_K 4.573 GB smallest, significant quality loss - not recommended for most purposes
plamo-13b-Q3_K_S.gguf Q3_K_S 5.338 GB very small, high quality loss
plamo-13b-Q3_K_M.gguf Q3_K_M 5.926 GB very small, high quality loss
plamo-13b-Q3_K_L.gguf Q3_K_L 6.439 GB small, substantial quality loss
plamo-13b-Q4_0.gguf Q4_0 6.926 GB legacy; small, very high quality loss - prefer using Q3_K_M
plamo-13b-Q4_K_S.gguf Q4_K_S 6.977 GB small, greater quality loss
plamo-13b-Q4_K_M.gguf Q4_K_M 7.351 GB medium, balanced quality - recommended
plamo-13b-Q5_0.gguf Q5_0 8.421 GB legacy; medium, balanced quality - prefer using Q4_K_M
plamo-13b-Q5_K_S.gguf Q5_K_S 8.421 GB large, low quality loss - recommended
plamo-13b-Q5_K_M.gguf Q5_K_M 8.640 GB large, very low quality loss - recommended
plamo-13b-Q6_K.gguf Q6_K 10.010 GB very large, extremely low quality loss
plamo-13b-Q8_0.gguf Q8_0 12.964 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/plamo-13b-GGUF --include "plamo-13b-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/plamo-13b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'