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metadata
library_name: transformers
datasets:
  - premai-io/spider
  - premai-io/domains
  - premai-io/birdbench
  - gretelai/synthetic_text_to_sql
metrics:
  - accuracy
base_model: premai-io/prem-1B-SQL
pipeline_tag: text2text-generation
tags:
  - TensorBlock
  - GGUF
TensorBlock

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premai-io/prem-1B-SQL - GGUF

This repo contains GGUF format model files for premai-io/prem-1B-SQL.

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

Prompt template 

<｜begin▁of▁sentence｜>{system_prompt}### Instruction:
{prompt}
### Response:

Model file specification

Filename Quant type File Size Description
prem-1B-SQL-Q2_K.gguf Q2_K 0.521 GB smallest, significant quality loss - not recommended for most purposes
prem-1B-SQL-Q3_K_S.gguf Q3_K_S 0.598 GB very small, high quality loss
prem-1B-SQL-Q3_K_M.gguf Q3_K_M 0.656 GB very small, high quality loss
prem-1B-SQL-Q3_K_L.gguf Q3_K_L 0.693 GB small, substantial quality loss
prem-1B-SQL-Q4_0.gguf Q4_0 0.723 GB legacy; small, very high quality loss - prefer using Q3_K_M
prem-1B-SQL-Q4_K_S.gguf Q4_K_S 0.758 GB small, greater quality loss
prem-1B-SQL-Q4_K_M.gguf Q4_K_M 0.813 GB medium, balanced quality - recommended
prem-1B-SQL-Q5_0.gguf Q5_0 0.872 GB legacy; medium, balanced quality - prefer using Q4_K_M
prem-1B-SQL-Q5_K_S.gguf Q5_K_S 0.887 GB large, low quality loss - recommended
prem-1B-SQL-Q5_K_M.gguf Q5_K_M 0.933 GB large, very low quality loss - recommended
prem-1B-SQL-Q6_K.gguf Q6_K 1.091 GB very large, extremely low quality loss
prem-1B-SQL-Q8_0.gguf Q8_0 1.334 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/prem-1B-SQL-GGUF --include "prem-1B-SQL-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/prem-1B-SQL-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'