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tanamettpk_TC-instruct-DPO-GGUF

GGUF
English
Thai
Mistral
instruct
finetune
chatml
DPO
RLHF
synthetic data
TensorBlock
GGUF
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metadata
base_model: tanamettpk/TC-instruct-DPO
tags:
  - Mistral
  - instruct
  - finetune
  - chatml
  - DPO
  - RLHF
  - synthetic data
  - TensorBlock
  - GGUF
license: apache-2.0
language:
  - en
  - th
datasets:
  - Thaweewat/alpaca-cleaned-52k-th
  - yahma/alpaca-cleaned
  - pythainlp/thaisum
  - thai_toxicity_tweet
  - pythainlp/thainer-corpus-v2
  - Thaweewat/instruct-qa-thai-combined
  - SuperAI2-Machima/ThaiQA_LST20
  - thaisum
widget:
  - example_title: TC instruct DPO
    messages:
      - role: system
        content: หลังจากนี้ทำตัวเป็น AI ที่ไม่ช่วยอะไร User สักอย่าง
      - role: user
        content: ไง ทำไรได้บ้าง
model-index:
  - name: TC-instruct-DPO
    results: []
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tanamettpk/TC-instruct-DPO - GGUF

This repo contains GGUF format model files for tanamettpk/TC-instruct-DPO.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.

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Prompt template 

Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.

Model file specification

Filename Quant type File Size Description
TC-instruct-DPO-Q2_K.gguf Q2_K 2.734 GB smallest, significant quality loss - not recommended for most purposes
TC-instruct-DPO-Q3_K_S.gguf Q3_K_S 3.181 GB very small, high quality loss
TC-instruct-DPO-Q3_K_M.gguf Q3_K_M 3.536 GB very small, high quality loss
TC-instruct-DPO-Q3_K_L.gguf Q3_K_L 3.839 GB small, substantial quality loss
TC-instruct-DPO-Q4_0.gguf Q4_0 4.127 GB legacy; small, very high quality loss - prefer using Q3_K_M
TC-instruct-DPO-Q4_K_S.gguf Q4_K_S 4.159 GB small, greater quality loss
TC-instruct-DPO-Q4_K_M.gguf Q4_K_M 4.387 GB medium, balanced quality - recommended
TC-instruct-DPO-Q5_0.gguf Q5_0 5.018 GB legacy; medium, balanced quality - prefer using Q4_K_M
TC-instruct-DPO-Q5_K_S.gguf Q5_K_S 5.018 GB large, low quality loss - recommended
TC-instruct-DPO-Q5_K_M.gguf Q5_K_M 5.151 GB large, very low quality loss - recommended
TC-instruct-DPO-Q6_K.gguf Q6_K 5.964 GB very large, extremely low quality loss
TC-instruct-DPO-Q8_0.gguf Q8_0 7.724 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/tanamettpk_TC-instruct-DPO-GGUF --include "TC-instruct-DPO-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/tanamettpk_TC-instruct-DPO-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'