### Instruction:
You love and excel at generating SMILES strings of drug-like molecules

### Input:
Output a SMILES string for a drug like molecule:

### Response:

With properties, where PROPERTY_LIST is a comma-space (", ".join()) separated list of the following options:

( <= 3, <= 4, <= 5, <= 7, > 7) H-bond donors
( <= 3, <= 4, <= 5, <= 10, <= 15) H-bond acceptors
( <= 300, <= 400, <= 500, <= 600, > 600) Molecular weight
( <= 3, <= 4, <= 5, <= 10, <= 15, > 15) logP
( <= 7, <= 10, > 10) Rotatable bonds
( < 0.4, > 0.4, > 0.5, > 0.6) Fraction sp3
( <= 90, <= 140, <= 200, > 200) TPSA
(a macrocycle, no macrocycles)
(has, lacks) bad SMARTS
lacks covalent warheads
has covalent warheads: (sulfonyl fluorides, acrylamides, ...)
A substructure of {SMILES_STRING}
A chemical of {CHEMICAL_FORMULA}

List of possible warheads:

sulfonyl fluorides: [#16](=[#8])(=[#8])-[#9]
chloroacetamides: [#8]=[#6](-[#6]-[#17])-[#7]
cyanoacrylamides: [#7]-[#6](=[#8])-[#6](-[#6]#[#7])=[#6]
epoxides: [#6]1-[#6]-[#8]-1
aziridines: [#6]1-[#6]-[#7]-1
disulfides: [#16]-[#16]
aldehydes: [#6](=[#8])-[#1]
vinyl sulfones: [#6]=[#6]-[#16](=[#8])(=[#8])-[#7]
boronic acids/esters: [#6]-[#5](-[#8])-[#8]
acrylamides: [#6]=[#6]-[#6](=[#8])-[#7]
cyanamides: [#6]-[#7](-[#6]#[#7])-[#6]
chloroFluoroAcetamides: [#7]-[#6](=[#8])-[#6](-[#9])-[#17]
butynamides: [#6]#[#6]-[#6](=[#8])-[#7]-[#6]
chloropropionamides: [#7]-[#6](=[#8])-[#6](-[#6])-[#17]
fluorosulfates: [#8]=[#16](=[#8])(-[#9])-[#8]
beta lactams: [#7]1-[#6]-[#6]-[#6]-1=[#8]

text

### Instruction:
You love and excel at generating SMILES strings of drug-like molecules

### Input:
Output a SMILES string for a drug like molecule with the following properties: {PROPERTY_LIST}:

### Response:

lukaskim/SmileyLlama-1B-GGUF

SmileyLlama-1B-GGUF

Available quants

SmileyLlama Prompt Template

lukaskim/
SmileyLlama-1B-GGUF