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1ndianajones_balinese_tts_model-GGUF

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GGUF
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text-generation-inference
unsloth
llama
trl
TensorBlock
GGUF
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metadata
base_model: 1ndianajones/balinese_tts_model
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - llama
  - trl
  - TensorBlock
  - GGUF
license: apache-2.0
language:
  - en
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1ndianajones/balinese_tts_model - GGUF

This repo contains GGUF format model files for 1ndianajones/balinese_tts_model.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5753.

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Prompt template 

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

Cutting Knowledge Date: December 2023
Today Date: 21 Jul 2025

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Model file specification

Filename Quant type File Size Description
balinese_tts_model-Q2_K.gguf Q2_K 1.437 GB smallest, significant quality loss - not recommended for most purposes
balinese_tts_model-Q3_K_S.gguf Q3_K_S 1.616 GB very small, high quality loss
balinese_tts_model-Q3_K_M.gguf Q3_K_M 1.760 GB very small, high quality loss
balinese_tts_model-Q3_K_L.gguf Q3_K_L 1.889 GB small, substantial quality loss
balinese_tts_model-Q4_0.gguf Q4_0 1.990 GB legacy; small, very high quality loss - prefer using Q3_K_M
balinese_tts_model-Q4_K_S.gguf Q4_K_S 2.001 GB small, greater quality loss
balinese_tts_model-Q4_K_M.gguf Q4_K_M 2.093 GB medium, balanced quality - recommended
balinese_tts_model-Q5_0.gguf Q5_0 2.343 GB legacy; medium, balanced quality - prefer using Q4_K_M
balinese_tts_model-Q5_K_S.gguf Q5_K_S 2.343 GB large, low quality loss - recommended
balinese_tts_model-Q5_K_M.gguf Q5_K_M 2.395 GB large, very low quality loss - recommended
balinese_tts_model-Q6_K.gguf Q6_K 2.717 GB very large, extremely low quality loss
balinese_tts_model-Q8_0.gguf Q8_0 3.516 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/1ndianajones_balinese_tts_model-GGUF --include "balinese_tts_model-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/1ndianajones_balinese_tts_model-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'