CT LLM SFT DPO by m-a-p

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  Arxiv:2404.04167   Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/m-a-p/CT-LLM-SFT-DPO 

CT LLM SFT DPO Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CT LLM SFT DPO (m-a-p/CT-LLM-SFT-DPO)

CT LLM SFT DPO Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Academic research
Additional Notes 
Developed for academic use, rigorous data compliance maintained. Disclaimer warns of potential liability for misuse.
Supported Languages 
Chinese (High), English (Moderate)
Training Details 
Data Sources:
cvalues_rlhf, comparison_gpt4_data_zh, oaast_rm_zh, huozi, zhihu, comparison_gpt4_data_en, beavertails, alpaca-gpt4, baichuan-6B
Data Volume:
183k Chinese pairs and 46k English pairs
Methodology:
Direct preference-based learning using DPO, aligned and enhanced over CT-LLM-SFT
Hardware Used:
8 H800 GPUs
Input Output 
Input Format:
Chat conversation with user and system roles
Accepted Modalities:
text
Output Format:
Generated text responses
LLM NameCT LLM SFT DPO
Repository ๐Ÿค—https://huggingface.co/m-a-p/CT-LLM-SFT-DPO 
Model Size2.1b
Required VRAM0 GB
Updated2025-02-05
Maintainerm-a-p
Model Typellama
Model Files  4.3 GB   0.0 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.37.2
Tokenizer ClassBaichuanTokenizer
Padding Token<unk>
Vocabulary Size125824
Torch Data Typebfloat16

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...penbuddy Llama2 13b64k V15 AWQ64K / 7.4 GB141
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Note: green Score (e.g. "73.2") means that the model is better than m-a-p/CT-LLM-SFT-DPO.

Rank the CT LLM SFT DPO Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227