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metadata
tags:
  - text-generation
  - TensorBlock
  - GGUF
license: cc-by-nc-sa-4.0
language:
  - ko
base_model: Edentns/DataVortexTL-1.1B-v0.1
pipeline_tag: text-generation
datasets:
  - beomi/KoAlpaca-v1.1a
  - jojo0217/korean_rlhf_dataset
  - kyujinpy/OpenOrca-KO
  - nlpai-lab/kullm-v2
widget:
  - text: |-
      <|system|>
      You are a chatbot who answers User's questions.
      <|user|>
      대한민국의 수도는 어디야?
      <|assistant|>
TensorBlock

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

Edentns/DataVortexTL-1.1B-v0.1 - GGUF

This repo contains GGUF format model files for Edentns/DataVortexTL-1.1B-v0.1.

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

Prompt template

<|system|>
{system_prompt}</s>
<|user|>
{prompt}</s>
<|assistant|>

Model file specification

Filename Quant type File Size Description
DataVortexTL-1.1B-v0.1-Q2_K.gguf Q2_K 0.402 GB smallest, significant quality loss - not recommended for most purposes
DataVortexTL-1.1B-v0.1-Q3_K_S.gguf Q3_K_S 0.465 GB very small, high quality loss
DataVortexTL-1.1B-v0.1-Q3_K_M.gguf Q3_K_M 0.511 GB very small, high quality loss
DataVortexTL-1.1B-v0.1-Q3_K_L.gguf Q3_K_L 0.551 GB small, substantial quality loss
DataVortexTL-1.1B-v0.1-Q4_0.gguf Q4_0 0.593 GB legacy; small, very high quality loss - prefer using Q3_K_M
DataVortexTL-1.1B-v0.1-Q4_K_S.gguf Q4_K_S 0.596 GB small, greater quality loss
DataVortexTL-1.1B-v0.1-Q4_K_M.gguf Q4_K_M 0.622 GB medium, balanced quality - recommended
DataVortexTL-1.1B-v0.1-Q5_0.gguf Q5_0 0.713 GB legacy; medium, balanced quality - prefer using Q4_K_M
DataVortexTL-1.1B-v0.1-Q5_K_S.gguf Q5_K_S 0.713 GB large, low quality loss - recommended
DataVortexTL-1.1B-v0.1-Q5_K_M.gguf Q5_K_M 0.728 GB large, very low quality loss - recommended
DataVortexTL-1.1B-v0.1-Q6_K.gguf Q6_K 0.841 GB very large, extremely low quality loss
DataVortexTL-1.1B-v0.1-Q8_0.gguf Q8_0 1.089 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/DataVortexTL-1.1B-v0.1-GGUF --include "DataVortexTL-1.1B-v0.1-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/DataVortexTL-1.1B-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'