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TC Instruct DPO by tanamettpk

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  Autotrain compatible Base model:finetune:scb10x/typ...   Base model:scb10x/typhoon-7b   Chatml Dataset:pythainlp/thainer-corp...   Dataset:pythainlp/thaisum Dataset:superai2-machima/thaiq...   Dataset:thai toxicity tweet   Dataset:thaisum Dataset:thaweewat/alpaca-clean... Dataset:thaweewat/instruct-qa-...   Dataset:yahma/alpaca-cleaned   Dpo   En   Endpoints compatible   Finetuned   Instruct   Mistral   Region:us   Rlhf   Safetensors   Sharded   Synthetic data   Tensorflow   Th
Model Card on HF 🤗: https://huggingface.co/tanamettpk/TC-instruct-DPO 

TC Instruct DPO Benchmarks

LLME Score: 0.18851
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TC Instruct DPO (tanamettpk/TC-instruct-DPO)

TC Instruct DPO Parameters and Internals

Model Type 
instruct, chatml, DPO, RLHF, synthetic data
Additional Notes 
The model is designed primarily for educational purposes on LLM creation, with acknowledgment of initial training challenges and intended for improvement and experimentation.
Supported Languages 
en (unknown proficiency level), th (unknown proficiency level)
Training Details 
Data Sources:
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
Methodology:
Train with QLoRA Rank 32 Alpha 64, Custom Script of Huggingface
Training Time:
Approximately 21 hours
Hardware Used:
H100 PCIE 80 GB from vast.ai
Input Output 
Output Format:
The format as per instruction-response design
Performance Tips:
Use axolotl or unsloth for better training cost efficiency
LLM NameTC Instruct DPO
Repository 🤗https://huggingface.co/tanamettpk/TC-instruct-DPO 
Base Model(s)  Typhoon 7B   scb10x/typhoon-7b
Model Size7b
Required VRAM14.6 GB
Updated2024-12-14
Maintainertanamettpk
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.6 GB: 3-of-3
Supported Languagesen th
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size35219
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than tanamettpk/TC-instruct-DPO.

Rank the TC Instruct DPO Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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