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Retrosynthesis on Mol-Instructions

64.2Exact MatchBioT5+
-2.56814.76632.149.434Feb 27, 2024Jul 4, 2024Nov 9, 2024Mar 17, 2025Jul 23, 2025Nov 28, 2025Apr 6, 2026

Evaluation results

MethodLinks
BioT5+variant=Reg. & React.2025.0264.2———0.93———
Mol-LLMwith_graph=true2025.0253.8———0.893———
Mol-LLM2026.0451.2———0.887———
Mol-LLMwith_graph=false2025.0251———0.886———
LlaSMol2025.0245.3———0.885———
InstructMol2025.0240.7———0.852———
MolDAdenoising steps (T)=642026.0423.6———0.791———
ChemDFM2026.048———0.769———
Mol-Instructions2025.026.9———0.359———
LlaSMol2026.042.6———0.65———
GPT-4shots=5-shot2025.021.2———0.716———
BioT5+2024.020.6420.9696.710.8970.930.866100—
InstructMol-GS-6.9B2024.020.4070.94113.9670.7530.8520.714100—
Text+Chem T5-223M2024.020.1410.76524.0430.6850.7650.58569.8—
InstructMol-G-6.9B2024.020.1140.58621.2710.4220.5230.285100—
BioT5+variant=Cls. & Trans.2025.020.1———0.195———
Mol-Instructions-7B2024.020.0090.70531.2270.2830.4870.23100—
Alpaca-7B2024.0200.06346.9150.0050.0230.00716—
Baize-7B2024.0200.09544.7140.0250.050.02311.2—
ChatGLM-6B2024.0200.11748.3650.0560.0750.0434.6—
Llama-7B2024.0200.03646.8440.0180.0290.0171—
Vicuna-7B2024.0200.05746.8770.0250.030.0211.7—
Galactica-6.7B2024.0200.45234.940.1670.2740.13498.6—
Llama-7BLoRA tuning=true2024.0200.28353.510.1360.2940.106100—
MolCA2025.020———0.88———
Galactica2025.020———0.274———
3D-MOLM2025.020———0.451———
ChemDFM2025.020———0.44———
Galactica2026.040———0.283———
3D-MoLM2026.040———0.81———
Alpaca-7B2026.02——————160.005
Baize-7B2026.02——————11.20.025
ChatGLM-6B2026.02——————4.60.056
COLMSubset-fraction=12.5%, Backbone=Qwen2.5-3B, Batch size |St|=1282026.06—0.8123.39—————
COLMSubset-fraction=25%, Backbone=Qwen2.5-3B, Batch size |St|=1282026.06—0.8123.8—————
Cuttlefish2026.02——————1000.747
Galactica-6.7B2026.02——————98.40.167
GradNormSubset-fraction=12.5%, Backbone=Qwen2.5-3B, Batch size |St|=1282026.06—0.7428.33—————
GradNormSubset-fraction=25%, Backbone=Qwen2.5-3B, Batch size |St|=1282026.06—0.7826.92—————
GREATSSubset-fraction=12.5%, Backbone=Qwen2.5-3B, Batch size |St|=1282026.06—0.8124.01—————
GREATSSubset-fraction=25%, Backbone=Qwen2.5-3B, Batch size |St|=1282026.06—0.8124.48—————
IDSubset-fraction=12.5%, Backbone=Qwen2.5-3B, Batch size |St|=1282026.06—0.8124.67—————
IDSubset-fraction=25%, Backbone=Qwen2.5-3B, Batch size |St|=1282026.06—0.8124.1—————
IWDSubset-fraction=12.5%, Backbone=Qwen2.5-3B, Batch size |St|=1282026.06—0.8124.39—————
IWDSubset-fraction=25%, Backbone=Qwen2.5-3B, Batch size |St|=1282026.06—0.8123.76—————
Llama-3-8B2026.02——————10.018
Mol-Ins.-Llama-22026.02——————1000.283
Mol-Ins.-Llama-3.12026.02——————1000.704
Mol-LLama-22026.02——————1000.362
Mol-LLama-3.12026.02——————1000.708
PartitionSelSubset-fraction=12.5%, Backbone=Qwen2.5-3B, Batch size |St|=1282026.06—0.8223.44—————
PartitionSelSubset-fraction=25%, Backbone=Qwen2.5-3B, Batch size |St|=1282026.06—0.8223.7—————
Qwen-2.5-7B2026.02——————93.90.168
RandomSubset-fraction=12.5%, Backbone=Qwen2.5-3B, Batch size |St|=1282026.06—0.8123.83—————
Vicuna-v1.5-13B2026.02——————1.70.025