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ChemLLM 7B Chat 1 5 DPO by AI4Chem

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ChemLLM 7B Chat 1 5 DPO is an open-source language model by AI4Chem. Features: 7b LLM, VRAM: 15.4GB, Context: 32K, License: other, LLM Explorer Score: 0.14.

  Arxiv:2402.06852   Chemistry   Conversational   Custom code   En   Feature-extraction   Internlm   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/AI4Chem/ChemLLM-7B-Chat-1_5-DPO 

ChemLLM 7B Chat 1 5 DPO Benchmarks

LLME Score: 0.14292
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ChemLLM 7B Chat 1 5 DPO (AI4Chem/ChemLLM-7B-Chat-1_5-DPO)
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ChemLLM 7B Chat 1 5 DPO Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
chemistry, molecular science
Limitations:
LLM may generate incorrect answers, requiring proofreading.
Additional Notes 
This is the first open-source Large Language Model specifically for Chemistry and Molecule Science.
Supported Languages 
en (supported), zh (supported)
Release Notes 
Version:
1.5
Date:
2024-3-23
Notes:
ChemLLM-1.5 updated
Version:
1.0
Date:
2024-1-18
Notes:
ChemLLM-7B-Chat version 1.0 released
Version:
0.2
Date:
2023-12-9
Notes:
Chepybara version 0.2 online Demo released
LLM NameChemLLM 7B Chat 1 5 DPO
Repository 🤗https://huggingface.co/AI4Chem/ChemLLM-7B-Chat-1_5-DPO 
Model Size7b
Required VRAM15.4 GB
Updated2025-12-28
MaintainerAI4Chem
Model Typeinternlm
Model Files  1.9 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   1.8 GB: 8-of-8
Supported Languagesen zh
Model ArchitectureInternLM2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Is Biased0
Tokenizer ClassInternLMTokenizer
Padding Token</s>
Vocabulary Size92544
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than AI4Chem/ChemLLM-7B-Chat-1_5-DPO.

Rank the ChemLLM 7B Chat 1 5 DPO Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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